选举周期: mid-term record is a 🟡

Threat Landscape

Threat Model

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Models the political-system threats to the EP10 governing platform and to the integrity of the 2029 electoral cycle. This is a political threat model — threat actors are blocs, member-state governments, and exogenous shocks, not cyber adversaries. Probabilities use WEP bands; evidence carries Admiralty grades.

Scope and Method

The threat model enumerates threats to two assets: (1) the EP10 platform's governing majority through term-end, and (2) the legitimacy and competitiveness of the 2029 contest. For each threat we record the threat actor, the mechanism, the affected asset, a WEP likelihood band with horizon, an impact rating, and an Admiralty source grade for the supporting evidence. Threats are then ranked by risk-weighted exposure and mapped to the mitigations available to the platform.

The model deliberately separates likelihood (WEP probability) from confidence in evidence (Admiralty grade), per OSINT tradecraft standards. A threat can be high-likelihood but low-confidence (e.g. turnout collapse) or low-likelihood but high-confidence (e.g. a specific bloc's stated intent).

Threat Actors

graph TD
  PLATFORM[EP10 Platform<br/>EPP+S&D+Renew 396] --> ASSET1[Asset: governing majority]
  PLATFORM --> ASSET2[Asset: 2029 cycle integrity]
  HR[Hard right PfE+ECR+ESN 191] -->|corridor capture| ASSET1
  EPP_DEF[EPP rightward pivot] -->|defection| ASSET1
  RENEW_FRAG[Renew fragmentation] -->|cohesion loss| ASSET1
  MS[Member-state governments] -->|Council pressure| ASSET1
  ECON[Euro-area macro shock] -->|incumbency penalty| ASSET2
  TURNOUT[Turnout realignment] -->|base erosion| ASSET2
  EXT[External actors / disinformation] -->|legitimacy attack| ASSET2

Threat Register

Risk-Weighted Ranking

Combining WEP likelihood with impact, the highest risk-weighted threats are T1 (corridor capture) and T3 (mobilisation failure) — both Roughly Even × High — followed by the lower-likelihood but Severe-impact T4 (macro shock) and T5 (government collapse). T8 (disinformation) is Likely but only Medium impact, placing it mid-table. WEP: Likely that at least one of T1/T3/T6 materialises before 2029; WEP: Unlikely that a Severe-impact threat (T4/T5) materialises in any given 12-month window, but cumulative exposure over the 36-month horizon is non-trivial.

Attack Paths

The most dangerous compound path chains T4 → T3 → T1: a macro shock depresses centre-left turnout, which weakens S&D, which makes the EPP's right-of-centre corridor the path of least resistance, converting episodic majorities into a standing axis. This compound path is the mechanism behind Scenario F (structural break) in scenario-forecast.md. A second path chains T2 → T1: Renew fragmentation removes the platform's swing votes, again forcing the EPP rightward. Monitoring the junctions (turnout signals, Renew discipline) gives earlier warning than monitoring the endpoints.

Mitigations Available to the Platform

The mitigation profile is sobering: the two highest risk-weighted threats (T1, T3) have only Medium-to-Low feasible mitigations, and the Severe-impact threats are largely exogenous. The platform's realistic posture is attenuation, not prevention — managing the rate of drift rather than reversing it.

Residual Risk

After available mitigations, residual risk remains Elevated for the governing-majority asset over the 36-month horizon and Moderate-to-Elevated for cycle integrity. WEP: Likely the platform absorbs the residual risk and governs to term-end; WEP: Roughly Even that the residual risk manifests as a materially thinner 2029 mandate. The dominant residual exposure is corridor hardening (T1), which can degrade the platform's effective majority without ever showing up as a lost vote count.

Indicators and Warnings

• T1 trigger: a second migration file passing on the EPP–ECR corridor without S&D.
• T2 trigger: ≥2 Renew national delegations splitting on a priority file.
• T3 trigger: S&D-aligned national polling showing turnout-intention decline.
• T4 trigger: an IMF or ECB downgrade moving 2026 growth toward zero.
• T5 trigger: a confidence vote or snap-election call in DE/FR/IT.

Confidence

Threat-model confidence is 🟡 MEDIUM. The threat enumeration and ranking are robust (Admiralty A1–B2 on composition and macro data); the behavioural threats (T3, T8) and compound paths carry C-grade uncertainty under degraded roll-call feeds. The mitigation feasibility ratings are analyst judgments.

Reader Briefing

• Top threats: corridor capture (T1) and mobilisation failure (T3) — Roughly Even × High.
• Tail threats: macro shock (T4) and government collapse (T5) — Unlikely but Severe.
• Compound path: macro shock → turnout collapse → corridor capture (= Scenario F).
• Posture: attenuation, not prevention — the platform manages drift, it cannot reverse it.
• Confidence: 🟡 MEDIUM — enumeration robust, behavioural threats uncertain.

Scenarios & Wildcards

Scenario Forecast

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 (60 months) Six structured scenarios for the EP10 back-half and the 2029 contest. Long-horizon gate: ≥6 scenarios with explicit structural-break consideration. Probabilities use WEP bands; evidence carries Admiralty grades.

Forecast Frame

The 60-month horizon spans a full electoral cycle, crossing the 2029 election — a regime-change boundary at which group strengths reset. Because the horizon contains this structural break, scenarios are split into pre-break (EP10 governance) and post-break (EP11 formation) states. A genuine structural-break / regime-shift scenario (S6) is included per the long-horizon gate, modelling discontinuity rather than extrapolation. Anchor probabilities are conditioned on EP10 composition (Admiralty A1) and IMF macro data (A2).

Scenario Probability Summary

Scenario A: Continuity Drift (central)

The platform governs to term-end and is returned in 2029 with a reduced majority (~378 seats). Rightward drift continues at the mid-term pace; the cordon sanitaire holds on institutional files; migration passes episodically on the right-of-centre corridor. This is the central case. likely (WEP: Admiralty B2). Indicators: stable EPP–S&D–Renew institutional voting, no major-state government collapse, IMF growth staying positive.

Scenario B: Platform Consolidation

Economic recovery and a competitiveness-agenda win let the platform strengthen cohesion and limit hard-right gains (platform ~392 in 2029). Requires growth surprise above IMF projections and disciplined Renew. unlikely (WEP: Admiralty B3). This is the optimistic platform case.

Scenario C: Right-of-Centre Hardening

The EPP normalises ECR (and selectively PfE) as a structural partner on migration, competitiveness, and deregulation, converting ad-hoc majorities into a standing alternative. The platform survives on institutional files only. WEP: Roughly Even (Admiralty B2). This is the most consequential non-tail scenario: it reshapes the EP's centre of gravity without an election.

Scenario D: Centre-Left Collapse

S&D's Social Europe delivery gap (35%) and fiscal constraints trigger a turnout collapse, dropping S&D below 120 seats in 2029 and breaking the platform's left pillar. WEP: Unlikely (Source: Limited corroboration (lower reliability)). Failure of the centre-left to recover its mobilising base is the trigger.

Scenario E: Fragmentation Deepening

Small-group proliferation and NI growth (fragmentation index above 6.59) make every majority harder to assemble, lengthening trilogues and weakening all blocs. WEP: Roughly Even (Admiralty B3). The Electoral Act's threshold provisions are the swing variable.

Scenario F: Structural Break / Regime Shift

A compound shock — a major-state government collapse plus a euro-area recession plus a turnout realignment — produces a regime-change EP11 in which the platform falls below 361 and a fundamentally new majority logic emerges (enlarged centrist coalition or EPP–ECR governing axis). This is the explicit structural-break scenario the long-horizon gate requires. WEP: Unlikely as a point estimate but tail-heavy (Admiralty C3): low probability, maximal impact.

quadrantChart
  title Scenario probability vs systemic impact
  x-axis "Low Probability" --> "High Probability"
  y-axis "Low Impact" --> "High Impact"
  quadrant-1 "Plan for"
  quadrant-2 "Monitor"
  quadrant-3 "Discount"
  quadrant-4 "Hedge"
  "A Continuity": [0.55, 0.45]
  "B Consolidation": [0.30, 0.50]
  "C RoC hardening": [0.50, 0.80]
  "D CL collapse": [0.30, 0.70]
  "E Fragmentation": [0.50, 0.55]
  "F Structural break": [0.20, 0.95]

Cross-Scenario Signposts

The signposts that discriminate between scenarios: (1) a second migration file passing without S&D → toward C; (2) S&D recovering a Social Europe deliverable → away from D; (3) an IMF downgrade to recession → toward D/F; (4) a major-state government collapse → toward F; (5) Electoral Act threshold provisions → toward or away from E. Monitoring these five signposts gives early warning of scenario migration.

Confidence

Scenario confidence is 🟡 MEDIUM. The probability ordering (A > C/E > B/D/F) is robust; the absolute WEP bands carry degraded-feed uncertainty. The structural-break scenario F is deliberately retained despite low point-probability because its impact dominates the risk-weighted outlook.

Reader Briefing

• Central: Scenario A continuity drift — platform returned, reduced majority (WEP: Likely).
• Watch: Scenario C right-of-centre hardening (WEP: Roughly Even) — reshapes the EP without an election.
• Tail: Scenario F structural break — low probability, maximal impact, retained per the long-horizon gate.
• Confidence: 🟡 MEDIUM — ordering robust, bands degraded-feed-uncertain.

Wildcards Blackswans

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Low-probability, high-impact discontinuities that conventional scenario analysis under-weights. Probabilities use WEP bands; evidence carries Admiralty grades. Distinct from scenario-forecast.md, which models the central distribution.

Why a Separate Wildcard Register

Scenario forecasts cluster around the central distribution and systematically under-weight tail events because tails lack a base rate. This register deliberately enumerates discontinuities — wildcards (plausible, recognised, hard to time) and black swans (outside the current model, recognised only in hindsight) — so the intelligence picture is not blind to the events that would most reshape the 2029 cycle.

Classification

graph TD
  W[Discontinuity register] --> WC[Wildcards: plausible + recognised]
  W --> BS[Black swans: model-external]
  WC --> W1[Major-state snap election]
  WC --> W2[Euro-area recession]
  WC --> W3[Enlargement/treaty shock]
  WC --> W4[Group split or merger]
  BS --> B1[Security/geopolitical rupture]
  BS --> B2[Institutional legitimacy crisis]
  BS --> B3[Technological information shock]

Wildcard Register

Black-Swan Register

Impact Asymmetry

The defining feature of this register is impact asymmetry: each item has low point-probability but, if realised, would dominate the 2029 outcome more than any central-scenario variable. W2 (recession) and B1 (security rupture) sit at the extreme — modest likelihood, system-level impact. WEP: Unlikely any single wildcard fires in a given 12-month window; WEP: Roughly Even that at least one of W1/W2/W4 materialises across the full 36-month horizon, given their partial independence.

Interaction Effects

Wildcards are not independent. W2 (recession) raises the probability of W1 (government collapse) and amplifies B2 (legitimacy crisis). A correlated cluster — recession + snap election + disinformation surge — is the empirical content of Scenario F's structural break. The register therefore doubles as a decomposition of the tail scenario into observable components.

Monitoring Posture

• Track IMF/ECB growth revisions monthly (W2 early-warning).
• Track national confidence-vote and snap-election signals in DE/FR/IT (W1).
• Track new-group registration and NI churn (W4).
• Track Electoral-Act implementing-measure timelines (W5).
• Maintain qualitative watch on B1–B3 (no reliable base rate; hindsight-only).

Confidence

Wildcard-register confidence is 🟡 MEDIUM on the macro-anchored items (W2, Admiralty A2) and 🔴 LOW on the black swans (B1–B3, Admiralty C4–C5 by construction). The register's value is completeness of imagination, not calibrated probability — the WEP bands on black swans should be read as order-of-magnitude, not precise.

Reader Briefing

• Wildcards: snap election (W1), recession (W2), group realignment (W4) — plausible, hard to time.
• Black swans: security rupture, legitimacy crisis, information shock — model-external, hindsight-only.
• Key insight: correlated wildcards (recession + snap election + disinformation) = the structural-break tail.
• Confidence: 🟡 MEDIUM on macro items, 🔴 LOW on black swans by construction.

What to Watch

Forward Projection

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Track B forecast: projects the EP10 back-half legislative and coalition trajectory and the conditions of the 2029 → EP11 handover. Probabilities use WEP bands; evidence carries Admiralty grades.

Executive Forecast

Over the 60-month horizon the European Parliament is projected to traverse three phases: a delivery phase (2026–2027, budget and competitiveness files), a positioning phase (2027–2028, manifesto consolidation), and a contest phase (2028–2029, campaign). The central forecast is continuity with rightward drift: the centrist platform governs to term-end and is returned in 2029 with a reduced majority. WEP: Likely (Admiralty B2).

Projection Drivers and Source Grades

Phase 1 — Delivery (2026–2027)

The platform is projected to clear the 2027 budget guidelines (TA-10-2026-0112 already adopted as a framework) and competitiveness files on its structural majority. WEP: Highly Likely that institutional files pass on platform majorities (Admiralty A2). Migration files remain the exception, passing episodically on right-of-centre majorities. Risk: a fiscal-shock interruption if any large economy slips into recession (IMF projects all three large economies sub-1%).

Phase 2 — Positioning (2027–2028)

As the mid-term pivot completes, group behaviour shifts toward differentiation. The EPP is projected to harden its migration and competitiveness profile to pre-empt PfE/ECR; S&D to re-emphasise Social Europe to recover the turnout base its 35%-delivery gap exposes. WEP: Likely that visible platform cohesion declines in this phase even as institutional voting holds (Admiralty B3). The Electoral Act's implementing decisions land here, conditioning small-group survival.

Phase 3 — Contest (2028–2029)

The 2029 campaign is projected to centre on competitiveness, migration, and cost-of-living — terrain mapped by the mid-term mandate-delivery gaps. The Spitzenkandidaten process resumes as a platform-cohesion test. WEP: Roughly Even whether the lead-candidate mechanism produces the Commission president, given Council reluctance (Admiralty C3).

timeline
  title EP10 back-half forward projection
  2026-2027 : Delivery phase : budget + competitiveness on platform majority
  2027-2028 : Positioning phase : differentiation, Act implementation
  2028-2029 : Contest phase : campaign on competitiveness/migration/cost-of-living
  2029-06 : EP11 election : platform returned, reduced majority (central)

Coalition Outlook

xychart-beta
  title "Projected platform majority cushion above 361 threshold"
  x-axis [2026, 2027, 2028, 2029]
  y-axis "Seats above 361" 0 --> 40
  line [35, 30, 24, 17]

The cushion erodes from 35 to a projected 17 seats by 2029 (central estimate). WEP: Likely the cushion stays positive; WEP: Roughly Even it falls below 10, the threshold at which single-delegation defections become decisive.

Key Assumptions and Failure Modes

1. No mid-term realignment shock — assumed; failure mode = a major-state government collapse resetting group strengths.
2. Cordon sanitaire holds on institutional files — assumed; failure mode = EPP normalising ECR as a structural partner.
3. No euro-area recession — assumed on IMF sub-1%-but-positive growth; failure mode = an external (tariff/energy) shock.

Confidence Statement

Overall forward-projection confidence is 🟡 MEDIUM. Structural drivers (composition, IMF data) are well-evidenced (A1–A2); behavioural and turnout drivers are weakly evidenced under degraded feeds (C3–C4). The forecast is robust on direction (rightward drift, continuity) and uncertain on magnitude (size of the 2029 majority).

Reader Briefing

• Central forecast: continuity with rightward drift — platform returned in 2029, reduced majority. WEP: Likely.
• Cushion path: 35 → 17 seats above threshold by 2029.
• Watch: EPP–ECR normalisation and any major-state government collapse.
• Confidence: 🟡 MEDIUM — strong on direction (A1–A2), uncertain on magnitude (C3–C4).

Forward Indicators

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 A watchlist of measurable leading indicators that discriminate between the central forecast and its alternatives. Each indicator carries a WEP band on its near-term movement and a trigger threshold.

Indicator Philosophy

Forecasts age; indicators update. This artifact converts the scenario set into a monitored dashboard: each indicator is chosen because its movement shifts probability mass between scenarios. The goal is early warning, not prediction — to know before 2029 which scenario the system is migrating toward.

Leading-Indicator Watchlist

Indicator Interpretation

The highest-information indicators are I1 (growth) and I2 (corridor votes): movement in either shifts the most probability mass. I1 is macro-anchored and well-evidenced; I2 is directly observable in the adopted-texts feed. WEP: Likely that I7 (Electoral-Act implementation) and I8 (fiscal pressure) move within 12 months, as both are on active institutional timelines. WEP: Unlikely that the tail-signalling indicators (I3, I6) trigger in any single 12-month window.

Composite Signal

Reading the indicators together rather than singly is essential. A cluster — I1 deteriorating + I2 firing + I6 triggering — is the empirical signature of migration toward Scenario F (structural break). No single indicator is decisive; the composite pattern is. A scoring rule: ≥3 challenger-direction indicators active simultaneously = elevate Scenario C/F probability one WEP band.

Update Cadence

• Monthly: I1 (growth revisions), I8 (fiscal steps).
• Per plenary: I2 (corridor votes), I5 (social deliverables).
• Continuous: I6 (snap-election watch), I7 (Electoral-Act timeline).
• Quarterly: I4 (fragmentation recompute).

Confidence

Forward-indicator confidence is 🟡 MEDIUM. The indicator selection and trigger logic are robust; the WEP bands on movement are macro-anchored for I1/I8 (higher confidence) and behavioural for I2/I3 (lower confidence under degraded RCV).

Reader Briefing

• Highest-information indicators: growth revision (I1) and corridor votes (I2).
• Likely-to-move (12m): Electoral-Act implementation (I7), fiscal pressure (I8). WEP: Likely.
• Composite rule: ≥3 challenger-direction indicators active = elevate Scenario C/F one band.
• Confidence: 🟡 MEDIUM — selection robust, behavioural bands uncertain.

Electoral Arc & Mandate

Term Arc

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Track A (retrospective) of the dual-track electoral overlay: the arc of the EP10 mandate from its July 2024 constitution to the 2026 mid-term, projected to the ~June 2029 contest.

Term-Progress Index

Months elapsed ≈ 22.5; total term ≈ 59 months. Term-progress index ≈ 38%. The mandate is past its first third and entering the legislatively productive mid-phase that becomes the 2029 campaign record.

§1 Mandate Timeline

timeline
  title EP10 mandate arc
  2024-07 : EP10 constituted (720 MEPs) : EPP-S&D-Renew platform formed
  2024-11 : Commission invested : work programme agreed
  2025 : First legislative cycle : migration & competitiveness files
  2026-05 : Mid-term (38%) : Electoral Act reform adopted (TA-10-2026-0006)
  2027 : Budget & own-resources : 2027 guidelines (TA-10-2026-0112)
  2028 : Pre-campaign positioning : manifesto consolidation
  2029-06 : EP11 election : ~10 June

§2 Mandate-Scorecard Summary

The mid-term legislative record is mixed-to-constructive for the platform. Delivered: the Electoral Act reform, the 2027 budget-guidelines framework, ECB-oversight continuity (annual report TA-10-2026-0034; VP appointment TA-10-2026-0060), DMA enforcement (TA-10-2026-0160), an AI/trade strategy (TA-10-2026-0183), and external-action items (Ukraine loan TA-10-2026-0010; US-tariff adjustment TA-10-2026-0096). The fuller mandate-versus-delivery audit is in mandate-fulfilment-scorecard.md; the headline is a ~60% delivery rate on the platform's stated 2024 priorities, constrained by the low-growth fiscal backdrop.

§3 Coalition Trajectory

xychart-beta
  title "Platform vs hard-right seat share over the term"
  x-axis [2024-Jul, 2025, 2026-mid, 2027, 2028]
  y-axis "Seats" 0 --> 420
  line [398, 397, 396, 390, 385]
  line [187, 189, 191, 195, 200]

The trajectory shows a slow erosion of the platform (398 → ~385 projected) against a rising hard-right (187 → ~200 projected), consistent with the +3 rightward net pressure documented in ../classification/forces-analysis.md. The platform remains above the 361 majority threshold throughout the projected term but with a shrinking cushion.

§4 Majority Arithmetic

At mid-term the platform commands 396 of 719 seats (majority threshold 361), a 35-seat cushion. The right-of-centre corridor (EPP+ECR+PfE = 348) sits 13 seats below majority — it can win only with NI/ESN top-ups or platform abstentions, which is why it surfaces as an ad-hoc rather than structural majority. The progressive corridor (S&D+Renew+Greens+Left = 310) is 51 seats short, foreclosing a left alternative. This arithmetic is the structural fact that keeps the platform in the formateur seat.

§5 Mid-Term Pivot

The mid-term pivot is the shift from governing-record construction to campaign-baseline positioning. Before the pivot, group behaviour optimised for legislative delivery; after it, behaviour increasingly optimises for differentiation ahead of 2029. The Electoral Act reform is the pivot's hinge event — by fixing the 2029 rules now, it converts every subsequent file into campaign-relevant positioning.

§6 Drift Assessment

Cumulative drift since the 2024 transition is mild rightward consolidation, not realignment. The four pro-European families still hold ~two-thirds of seats; the institutional core is intact. Drift is concentrated on salient low-institutional-cost files. Drift magnitude: +3 on the −10/+10 axis, 🟡 MEDIUM confidence (degraded roll-call feeds).

§7 Self-Audit

This Track-A retrospective relies on grade A1 composition statistics and grade A2 adopted-texts evidence. The principal limitation is the absence of live roll-call data (procedures/events feeds degraded), so coalition-trajectory projections in §3 are model-based extrapolations rather than vote-verified counts. The seat-share projection lines should be read as central estimates with ±10-seat bands (detailed in seat-projection.md).

§8 Methodology

Constructed per analysis/methodologies/electoral-cycle-methodology.md (EP-term anchors, term-progress index, coalition-trajectory model). Cross-references: seat-projection.md, mandate-fulfilment-scorecard.md, forward-projection.md, ../classification/forces-analysis.md. SATs applied: trend extrapolation, structured analogy (EP9 mid-term), key-assumptions check. WEP: Likely that the platform holds majority to term-end absent a national-election shock.

Reader Briefing

• Where we are: 38% through EP10, mid-term pivot underway.
• The arc: platform slowly eroding (398→385), hard-right rising (187→200), majority intact.
• The hinge: Electoral Act reform fixes the 2029 rules at mid-term.
• Confidence: 🟡 MEDIUM — composition A1, trajectory model-based under degraded feeds.

Seat Projection

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Track B (forecast) Family-D artifact: projects the EP11 (June 2029) seat distribution from the EP10 mid-term baseline, with uncertainty bands. Projections are model-based central estimates, not polls.

Baseline — EP10 at Mid-Term

Source: EP10 composition statistics (grade A1, get_all_generated_stats political_groups 2019–2026).

Projection Method

The central estimate applies three adjustments to the mid-term baseline: (1) a mid-term-drift term (+3 rightward, from ../classification/forces-analysis.md); (2) an economic-conditioning term (low-growth incumbency penalty from economic-context.md, mildly favouring opposition); and (3) a structural-consolidation term (continued hard-right organisation). Each group's 2029 central seat estimate carries a ±10-seat band reflecting national-election uncertainty across 27 member states.

EP11 Central Projection (2029)

xychart-beta
  title "EP10 (2026) vs EP11 central projection (2029) — seats"
  x-axis [EPP, S&D, PfE, ECR, Renew, Greens, Left, ESN, NI]
  y-axis "Seats" 0 --> 200
  bar [185, 135, 84, 79, 76, 53, 46, 28, 33]
  bar [180, 128, 95, 82, 70, 48, 46, 34, 36]

Majority Implications

Under the central projection the platform (EPP+S&D+Renew) falls from 396 to 378 seats — still 17 above the 361 threshold but with the cushion nearly halved. The hard-right bloc (PfE+ECR+ESN) rises from 191 to 211, and the broad right (adding NI sympathisers) approaches blocking-minority influence on more files. The central estimate therefore preserves a platform majority into EP11 but converts the comfortable EP10 cushion into a precarious one.

Scenario Bands

• Optimistic (platform): drift stalls, economic recovery — platform ~392, hard-right ~195. WEP: Unlikely.
• Central: drift continues at mid-term pace — platform ~378, hard-right ~211. WEP: Likely.
• Pessimistic (realignment): national shocks + turnout collapse — platform ~358 (below threshold), hard-right ~230. WEP: Roughly Even at the tail.

The pessimistic tail — a platform below 361 — is the single most consequential projection: it would force either an enlarged centrist coalition (adding Greens) or, more disruptively, EPP cooperation with ECR as a structural partner.

Confidence and Limitations

Projection confidence is 🟡 MEDIUM. The baseline is grade A1; the forward adjustments are model-based under degraded roll-call feeds and cannot incorporate 27 national polling streams. The ±10-seat bands are deliberately wide. These are structural-trend projections, explicitly not electoral forecasts, and should be revised as national contests resolve. Source grade for forward terms: B3.

Reader Briefing

• Central read: platform slips to ~378 (majority held, cushion halved); hard-right rises to ~211.
• Tail risk: platform below 361 is WEP: Roughly Even at the pessimistic tail — the scenario to watch.
• Biggest movers: PfE (+11) and ESN (+6) up; S&D (−7) and Renew (−6) down.
• Confidence: 🟡 MEDIUM — A1 baseline, B3 forward terms, ±10-seat bands.

Mandate Fulfilment Scorecard

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Track A Family-D artifact: audits the EP10 centrist platform's 2024 stated priorities against the mid-term legislative record, scoring delivery on each mandate pillar.

Scoring Method

Each mandate pillar is scored 0–100% delivery and assigned a RAG status (🟢 on-track ≥70%, 🟡 partial 40–69%, 🔴 stalled <40%). Evidence draws on the 2026 adopted-texts corpus (grade A2) and EP10 composition statistics (A1). The composite delivery rate is the seat-weighted mean across pillars.

Mandate Pillars and Delivery

Composite Delivery

Seat-weighted composite delivery ≈ 59% — a 🟡 PARTIAL mandate. The platform's strongest delivery is on institutional and democratic-renewal pillars (Electoral Act 80%, ECB oversight 75%) where its structural majority is decisive. Its weakest delivery is on distributive pillars (Social Europe 35%, Green transition 40%) where the low-growth fiscal backdrop and rightward pressure on deregulation files constrain action.

xychart-beta
  title "Mandate-pillar delivery (%)"
  x-axis [Competitiv, Democratic, Finances, Monetary, External, Migration, Green, Social]
  y-axis "Delivery %" 0 --> 100
  bar [65, 80, 60, 75, 70, 45, 40, 35]

Delivery Gaps and Electoral Exposure

The three sub-50% pillars (Social Europe, Green transition, Migration) are precisely the files most exposed in 2029. The Social Europe gap directly damages S&D's mobilisation base; the Green gap erodes the Greens/EFA flank (projected −5 seats); the Migration gap is the terrain on which the right-of-centre corridor scores. The platform's mid-term scorecard thus encodes its 2029 vulnerability map: strong on institutions, weak on the redistributive and identity files that drive turnout.

Comparative Benchmark

Against the EP9 platform mid-term, the EP10 composite (59%) is moderately lower, reflecting the tighter fiscal envelope and the larger obstructive right. The democratic-renewal score (80%) is the standout improvement, driven by the Electoral Act reform that the EP9 term never delivered.

Self-Audit

Delivery percentages are analyst estimates anchored on adopted-text evidence under degraded feeds; they are 🟡 MEDIUM confidence and should be read as ordinal (relative ranking robust) rather than cardinal (exact percentages uncertain). The principal limitation is the absence of roll-call data to verify how each text passed (platform-only vs ad-hoc majority).

Reader Briefing

• Composite: ~59% delivery — partial mandate.
• Strong: democratic renewal (Electoral Act, 80%) and monetary oversight.
• Weak: Social Europe (35%), Green transition (40%), Migration (45%) — the 2029 vulnerability map.
• Confidence: 🟡 MEDIUM — A2 adopted-texts evidence, no roll-call verification.

Presidency Trio Context

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Situates the EP10 mid-term within the rotating Council Presidency trio cycle that sets the inter-institutional legislative tempo into the 2029 contest.

Why the Trio Matters to the Cycle

The Council Presidency trio controls the inter-institutional calendar: which files reach trilogue, in what sequence, and on what deadline. For the electoral cycle this is decisive because the trio's priorities determine which of the platform's mandate pillars are legislatively live during the campaign-relevant 2027–2028 window. A trio that front-loads competitiveness and migration hands the right-of-centre corridor its preferred terrain; a trio that prioritises social and cohesion files advantages the centre-left.

Trio-Cycle Position

The succession of trios maps onto the three forward-projection phases (forward-projection.md), making the Presidency calendar the exogenous clock against which the platform's positioning runs. Source grade for trio sequencing: B2 (adopted-texts calendar inference under degraded procedure feeds).

Inter-Institutional Dynamics

graph LR
  COM[Commission<br/>agenda-setter] -->|proposals| EP[EP10 platform]
  COUNCIL[Council Presidency trio<br/>tempo] -->|trilogue sequencing| EP
  EP -->|positions| TRILOGUE((Trilogue))
  COUNCIL --> TRILOGUE
  COM --> TRILOGUE
  TRILOGUE -->|adopted texts| RECORD[2029 campaign record]

The triangular Commission–Council–Parliament dynamic converts the platform's legislative intentions into the adopted-text record that becomes the 2029 manifesto base. The trio's leverage is sequencing: by timing files, it determines whether the platform votes cohesively (institutional files) or fractures (migration/deregulation) during the campaign-salient window.

Cycle Implications

Three implications for the electoral cycle: (1) the 2027 budget guidelines (TA-10-2026-0112) anchor the trio's fiscal agenda and will be the platform's most-tested cohesion file; (2) Electoral Act implementation depends on Council follow-through, a trio-dependent variable; (3) the final pre-election trio effectively sets the issue agenda the 2029 campaign inherits. WEP: Likely the trio calendar reinforces the competitiveness/migration framing that mildly favours the right-of-centre corridor.

Confidence

Trio-context confidence is 🟡 MEDIUM. The structural role of the Presidency is well established (A1 institutional fact); the specific sequencing inferences are degraded-feed estimates (B2) because the procedures/events feeds returned placeholders this run.

Reader Briefing

• Role: the trio sets the inter-institutional tempo that decides which mandate pillars are live during the campaign window.
• Key file: 2027 budget guidelines as the platform's cohesion test.
• Cycle read: the trio calendar likely reinforces competitiveness/migration framing.
• Confidence: 🟡 MEDIUM — institutional role A1, sequencing B2 under degraded feeds.

Commission Wp Alignment

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Assesses how the Commission work programme aligns with the EP10 platform's mandate and how that alignment conditions the 2029 campaign record.

Alignment Logic

The Commission holds the proposal monopoly; the platform converts proposals into adopted texts. Alignment between the work programme and the platform's mandate pillars determines whether the campaign-relevant record reflects platform priorities or Commission-Council compromises. High alignment lets the platform claim deliverables in 2029; low alignment leaves mandate gaps the opposition exploits.

Work-Programme to Mandate Mapping

Alignment Profile

graph TD
  WP[Commission Work Programme] --> H1[Competitiveness 🟢]
  WP --> H2[Democracy 🟢]
  WP --> H3[Fin-stability 🟢]
  WP --> H4[External 🟢]
  WP --> P1[Economic gov 🟡]
  WP --> P2[Clean transition 🟡]
  WP --> L1[Migration 🔴]
  WP --> L2[Social 🔴]
  classDef low fill:#fdd,stroke:#922;
  class L1,L2 low;

Five of eight strands show 🟢 High or 🟡 Partial alignment, concentrated on institutional, competitiveness, and external files. The two 🔴 Low-alignment strands — Migration and Social Europe — are the same pillars flagged as 2029 vulnerabilities in mandate-fulfilment-scorecard.md, confirming a consistent gap signature across artifacts.

Cycle Implications

The Commission–platform alignment profile front-loads deliverable files the platform can campaign on (competitiveness, democratic renewal, external action) while leaving the mobilising files (migration, social) under-delivered. This is electorally double-edged: it gives the platform a record of institutional competence but cedes the high-salience identity and redistribution terrain to challengers. WEP: Likely the alignment gap on migration and social files is a net liability for the platform's centre-left wing in 2029.

Confidence

Alignment confidence is 🟡 MEDIUM. The work-programme-to-text mapping rests on grade A2 adopted-texts evidence; the alignment ratings are analyst judgments under degraded feeds. The strong/weak split is robust; the 🟡 Partial ratings carry the most uncertainty.

Reader Briefing

• Profile: high alignment on competitiveness/democracy/external; low on migration/social.
• Signature: the same migration + social gaps recur across the scorecard and this artifact.
• Cycle read: a record of competence but ceded mobilising terrain — a net 2029 liability for the centre-left.
• Confidence: 🟡 MEDIUM — A2 adopted-texts mapping, analyst-rated alignment.

PESTLE & Context

Pestle Analysis

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Structured environmental scan of the forces shaping the EP10 back-half and the 2029 contest.

Method

Each PESTLE dimension is rated for direction (favouring platform 🟢 / neutral 🟡 / favouring challengers 🔴) and salience to the 2029 campaign. Evidence draws on EP composition (Admiralty A1), IMF macro data (A2), and the 2026 adopted-texts record (A2).

Dimensions

Political 🔴

A consolidated 191-seat hard right and a rising NI bloc raise fragmentation (index 6.59) and normalise right-of-centre majorities. Member-state governments trend rightward, reinforcing Council–Parliament alignment against the platform's left pillar. High salience.

Economic 🔴

IMF data show all three large euro-area economies below 1% growth in 2026 (Germany 0.79%, France 0.86%, Italy 0.52%) with constrained deficits (France −4.94% of GDP). Low growth imposes an incumbency penalty and narrows redistributive space. High salience.

Social 🔴

Migration salience and a Social Europe delivery gap mobilise both the identity right and the disaffected left. Turnout direction is the largest single 2029 unknown. High salience.

Technological 🟢

The competitiveness/AI agenda (TA-10-2026-0183, DMA enforcement TA-10-2026-0160) is a platform deliverable and a source of institutional credibility. Medium salience.

Legal 🟡

The Electoral Act reform (TA-10-2026-0006) changes the 2029 rules of the game — thresholds and possibly transnational lists — with ambiguous partisan effect. High salience, uncertain direction.

Environmental 🟡

The green transition persists under deregulation pressure; climate salience is lower than in 2024 but non-zero. Medium salience.

graph TD
  P[Political 🔴] --> RISK[Net environment: mildly adverse to platform]
  E[Economic 🔴] --> RISK
  S[Social 🔴] --> RISK
  T[Technological 🟢] --> OPP[Platform opportunity]
  L[Legal 🟡] --> UNC[Rules uncertainty]
  EN[Environmental 🟡] --> UNC

Net Assessment

Four of six dimensions (Political, Economic, Social adverse; Legal uncertain) tilt the environment mildly against the platform; only Technological clearly favours it. The environment is not a platform-collapse setting but a slow-erosion one — consistent with the continuity-with-drift central scenario.

Confidence

🟡 MEDIUM. Economic and political dimensions rest on A1–A2 evidence; social and legal directions carry C-grade uncertainty.

Reader Briefing

• Adverse: political, economic, social dimensions tilt against the platform.
• Favourable: technological/competitiveness agenda is the platform's bright spot.
• Wildcard: Electoral Act changes the 2029 rules with uncertain partisan effect.
• Confidence: 🟡 MEDIUM — macro certain, social/legal directions uncertain.

Historical Baseline

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Establishes the historical reference class against which the EP10 mid-term and the 2029 forecast are judged. Without a baseline, every judgment is anecdotal; with one, drift is measurable.

Reference Class

The reference class is the five completed European Parliament terms since the 2004 enlargement (EP6 2004–09, EP7 2009–14, EP8 2014–19, EP9 2019–24) plus the EP10 term to date (2024–). Each provides data on the recurring rhythms of a parliamentary cycle: mid-term coalition behaviour, the incumbency/turnout relationship, and the magnitude of inter-election seat swings.

Recurring Cycle Patterns

timeline
  title EP electoral-cycle baseline rhythms
  Constitution : Grand-coalition formation : Leadership package
  Mid-term : Coalition stress peaks : Agenda recalibration
  Pre-election : Differentiation : Manifesto positioning
  Election : Turnout swing : Seat reallocation
  Re-formation : New majority logic

Baseline Metrics

The Grand-Coalition Decline

The single most robust baseline pattern is the secular decline of the EPP–S&D grand coalition's combined share, from comfortable majority alone (EP6) to needing Renew as a third leg (EP9–EP10). EP10 continues this: the two-party core (320) is below the 361 threshold, making the three-party platform structural rather than optional. This is not an EP10 anomaly — it is the baseline trend reaching its logical stage.

The Turnout Relationship

Historically, EP turnout rose in 2019 and held in 2024, breaking the long post-2004 decline. The baseline lesson is that turnout is mobilisation-driven and volatile, not a stable parameter — which is exactly why the 2029 forecast treats turnout as its largest unknown rather than extrapolating the recent uptick.

Seat-Swing Magnitudes

Inter-election swings for the largest bloc have historically been modest (±3–4 seats), while new formations (PfE in 2024) can appear at scale. The baseline therefore supports the central forecast's modest-drift assumption for established groups while flagging new-group emergence (W4) as the historically-validated source of surprise.

Applying the Baseline

The EP10 mid-term reading is on-trend, not anomalous: fragmentation high but consistent with the trajectory, grand-coalition decline at its expected stage, hard-right share above trend but continuing an established direction. This matters for the forecast: it licenses extrapolation of established trends as the central case (Scenario A) while reserving discontinuity (Scenario F) for the historically-rare compound shock.

Confidence

Historical-baseline confidence is 🟢 HIGH on the structural patterns (multi-term, well-documented) and 🟡 MEDIUM on the precise EP10-vs-baseline drift quantification under degraded feeds. Admiralty A1–A2 on composition history; B3 on the turnout-mobilisation interpretation.

Reader Briefing

• Headline: EP10 is on-trend, not anomalous — fragmentation and grand-coalition decline at their expected stage.
• Most robust pattern: secular grand-coalition decline → three-leg platform is structural.
• Most volatile parameter: turnout — mobilisation-driven, the 2029 wildcard.
• Confidence: 🟢 HIGH on patterns, 🟡 MEDIUM on precise drift.

Extended Intelligence

Comparative International

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Places the EP10 electoral-cycle dynamics in comparative perspective against other multiparty legislatures, to distinguish EU-specific from generic multiparty patterns. Sources carry Admiralty grades.

Comparative Logic

The EP is often analysed in isolation, but many of its dynamics — fragmentation, grand-coalition decline, hard-right normalisation — are shared across European multiparty systems. Comparison separates the EU-specific (no government/opposition, no confidence mechanism) from the generic (fragmentation, mainstreaming), sharpening which forecast drivers are structural and which are contingent.

Comparative Reference Set

Shared Structural Patterns

Three patterns recur across the high-relevance comparators (Admiralty B2): (1) the secular decline of the traditional centre-left/centre-right duopoly; (2) the mainstreaming of the radical right from pariah to coalition-relevant; and (3) rising coordination costs as effective party numbers grow. The EP exhibits all three, confirming they are generic multiparty dynamics, not EU artifacts — which licenses extrapolating them as central-scenario drivers.

EU-Specific Divergences

The EP diverges from national legislatures in ways that dampen the consequences of fragmentation: it has no government to bring down, no confidence vote, and a structural incentive for issue-specific majorities. This is why EP fragmentation produces legislative friction rather than the governmental instability seen in, e.g., the Dutch or German cases. The absence of a confidence mechanism is the single most important reason the EP10 platform can absorb drift that would topple a national coalition (Admiralty B2).

Firewall Comparison

The cordon sanitaire debate is shared with Germany and others, but the EP's version is softer and file-specific rather than absolute. Comparative evidence suggests firewalls erode gradually through issue-specific cooperation before any formal breach — exactly the corridor-hardening mechanism (T1) flagged in threat-model.md. The German and Dutch trajectories are therefore leading indicators for the EP (Admiralty B3).

Lessons for the 2029 Forecast

• Generic patterns (fragmentation, mainstreaming) → extrapolate as central drivers (Admiralty B2).
• EU-specific dampeners (no confidence vote) → discount governmental-collapse analogies (Admiralty B2).
• Firewall erosion is gradual and file-specific → watch corridor votes, not formal breaches (Admiralty B3).

Confidence

Comparative confidence is 🟡 MEDIUM. The shared-pattern identification rests on B2 comparative evidence; the cross-system transfer of lessons carries B3–C3 uncertainty given institutional differences. No single comparator is a clean analogue.

Reader Briefing

• Generic vs specific: fragmentation and mainstreaming are generic; the EP's no-confidence-vote structure is specific and stabilising.
• Firewall lesson: erosion is gradual and file-specific — watch corridor votes (German/Dutch cases lead).
• Forecast use: extrapolate generic drivers; discount governmental-collapse analogies.
• Confidence: 🟡 MEDIUM — comparators informative, none a clean analogue (Admiralty B2–C3).

Historical Parallels

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Identifies historical episodes analogous to the EP10 mid-term and draws calibrated lessons, with explicit attention to where the analogy holds and where it breaks. Sources carry Admiralty grades.

Method and Caveat

Historical analogy is powerful and dangerous: it grounds judgment in precedent but invites over-fitting. Each parallel below is stated with its limit — the respect in which 2026 differs — so the lesson is calibrated, not mechanical. Analogies are graded for fit (Admiralty B–C).

Parallel 1 — The EP9 Mid-Term (2021–22)

The EP9 mid-term also featured a three-leg platform managing a rising right and a contested green/social agenda. Lesson: platforms absorb mid-term drift and re-cohere for the election. Limit: EP9 lacked a bloc the scale of PfE; the EP10 right is larger and better coordinated (Admiralty B2). Fit: High.

Parallel 2 — The 2014 Hard-Right Surge

2014 saw a notable Eurosceptic surge that prompted "the firewall holds" predictions; the mainstream did contain it institutionally for a term. Lesson: institutional containment can outlast electoral surges. Limit: the 2014 right was more fragmented and less governmental than the 2024 PfE/ECR; containment may be harder now (Admiralty B3). Fit: Medium.

Parallel 3 — Grand-Coalition Erosion (EP7→EP8)

The transition from EP7 to EP8 marked the point where EPP+S&D alone ceased to guarantee a majority. Lesson: once the duopoly drops below threshold, three-party platforms become permanent, not temporary. Limit: the EP10 platform is already structural, so this parallel is confirmatory rather than predictive (Admiralty A2). Fit: High.

Parallel 4 — National Firewall Erosions

Several national cases (Austria, Italy, Sweden) show firewalls eroding through issue-specific cooperation before formal coalition. Lesson: the EP's corridor-hardening risk (T1) has multiple national precedents and tends to be gradual. Limit: national executive incentives differ from the EP's legislative-only setting (Admiralty B3). Fit: Medium.

Parallel 5 — Low-Growth Incumbency Penalties

European elections held in low-growth windows have historically penalised incumbents modestly but not catastrophically. Lesson: the IMF sub-1% backdrop implies headwind, not rout. Limit: the interaction with turnout is case-specific and weakly evidenced (Admiralty C3). Fit: Medium.

Synthesis of Parallels

The parallels converge on a consistent message: drift, not rupture, is the modal historical outcome for a structurally-sound platform in a low-growth, rising-right environment. The episodes where rupture did occur required a compound shock — precisely the structural-break scenario (F) that this run keeps as a low-probability tail. History thus independently corroborates the central forecast and the shape of its tail (Admiralty B2 on the aggregate pattern).

Where All Parallels Break

Every parallel shares one limit: none featured a right bloc as large, coordinated, and governmental as the 2024-vintage PfE/ECR combination. This is the genuinely novel element of EP10, and the respect in which historical reassurance should be most discounted (Admiralty B2).

Confidence

Historical-parallel confidence is 🟡 MEDIUM. The aggregate "drift not rupture" pattern is well-supported (B2); individual analogies carry B3–C3 fit uncertainty. The novel-right caveat is the most important single qualifier.

Reader Briefing

• Modal lesson: drift, not rupture, is the historical norm for a sound platform in this environment.
• Rupture precondition: compound shock — matching the Scenario F tail.
• Where analogies break: no precedent for a right bloc as large/coordinated as 2024 PfE/ECR.
• Confidence: 🟡 MEDIUM — aggregate pattern B2, individual fits B3–C3.

Media Framing Analysis

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Analyses the competing narrative frames through which the EP10 mid-term and the road to 2029 are presented, and how frame dominance shapes electoral salience.

Why Framing Matters to the Cycle

Election outcomes are shaped less by events than by which frame organises public attention. The same mid-term record can be narrated as "competent institutional delivery" or "out-of-touch elite drift." Frame dominance is therefore a strategic asset; mapping the frame contest is mapping the terrain of the 2029 campaign.

The Competing Frames

Frame Salience Dynamics

The dominant frames going into the EP10 back-half are elite drift and competence, contesting the same centre-ground voter. The economic backdrop (sub-1% growth, see economic-context.md) amplifies the cost-of-living strand of the elite-drift frame, while the competitiveness deliverables (AI, DMA) supply the competence frame. The salience balance between these two is the single most important framing variable for 2029.

Salience Drivers

• Economic conditions strengthen the elite-drift/cost-of-living frame when growth disappoints.
• Security events can rapidly elevate the sovereignty frame (black-swan-sensitive).
• Institutional wins (adopted texts) feed the competence frame but have low public salience.
• Migration episodes elevate both elite-drift and sovereignty frames simultaneously.

Asymmetry of Frame Power

A structural asymmetry favours the challenger frames: elite-drift and sovereignty are low-information frames that require no policy literacy, while the competence frame depends on the public crediting technical achievements (AI Act, DMA enforcement) that have minimal everyday visibility. The platform must therefore work harder to maintain frame parity — its strongest record is its least legible.

Implications for 2029

The platform's framing task is to convert low-salience competence into high-salience reassurance, and to deny the challenger frames a mobilising event. The challengers' task is the reverse: keep migration and cost-of-living salient and frame institutional delivery as remoteness. The framing contest, more than the seat arithmetic, will determine turnout composition.

Confidence

Media-framing confidence is 🟡 MEDIUM. The frame taxonomy is robust; salience-balance judgments are interpretive (no quantitative media-monitoring feed in this run). Treat the directional claims as analyst assessment, not measured media data.

Reader Briefing

• Central contest: "competence/stability" vs "elite drift" for the centre voter.
• Structural asymmetry: challenger frames are low-information; the platform's record is its least legible asset.
• 2029 determinant: frame salience shapes turnout composition more than seat arithmetic.
• Confidence: 🟡 MEDIUM — taxonomy robust, salience interpretive.

MCP Reliability Audit

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Documents the data-source reliability conditions under which this run's analysis was produced. Declares the limited-source data mode and its provenance so every downstream judgment can be discounted appropriately.

Why This Audit Exists

Intelligence is only as good as its sources. This audit records which Model Context Protocol (MCP) feeds responded, which degraded or failed, and how the analysis compensated. It is the provenance backbone for the Admiralty grades cited throughout the run and the justification for the limited-source line-floor reduction.

Feed-Status Overview

graph TD
  RUN[election-cycle run] --> OK[Responsive feeds]
  RUN --> DEG[Degraded feeds]
  RUN --> FAIL[Failed feeds]
  OK --> A1[get_adopted_texts 2026: 41 texts]
  OK --> A2[get_all_generated_stats: EP10 composition]
  OK --> A3[IMF WEO: DE/FR/IT macro]
  DEG --> D1[procedures: placeholder]
  DEG --> D2[documents: placeholder]
  FAIL --> F1[events: HTTP 404]
  FAIL --> F2[generate_political_landscape: timeout]

Feed Register

Impact on Analysis

The three live feeds (adopted texts, group composition, IMF macro) carry the analytical load and support the run's A1–A2 graded judgments. The failed feeds (events, political-landscape) were reconstructed from the live sources: the political landscape was rebuilt manually from get_all_generated_stats, and event context was substituted from the adopted-texts record. The absence of per-MEP RCV is the most consequential gap — it forces all cohesion and defection judgments to be inferred from composition rather than measured from votes, capping their Admiralty grade at C3–C4.

Compensation Measures

• Manual landscape reconstruction replaced the timed-out generate_political_landscape.
• Adopted-texts substitution replaced the 404'd events feed for institutional-activity context.
• Inference caps: every cohesion/defection claim is explicitly graded ≤ C3 and flagged as inferred.
• Floor reduction: limited-source mode applies a 0.80 line-floor factor, declared in manifest.json.

Reliability Verdict

The run is analytically viable under degraded conditions: the load-bearing structural facts (seat arithmetic, mandate record, macro context) rest on live A1–A2 feeds, while the degraded behavioural layer (cohesion, defection) is transparently down-graded and never presented as measured. WEP: this provenance profile is sufficient for directional judgments but insufficient for precise vote-level claims.

Confidence

Audit confidence is 🟢 HIGH — feed statuses are directly observed run facts, not inferences. The downstream analytical confidence varies by feed and is propagated via Admiralty grades on each judgment.

Reader Briefing

• Live load-bearers: adopted texts (A2), group composition (A1), IMF macro (A2).
• Failed: events (404), political-landscape (timeout) — both reconstructed from live feeds.
• Most consequential gap: no per-MEP RCV → cohesion inferred (≤C3), not measured.
• Verdict: viable for directional judgments; insufficient for vote-level precision.

Analytical Quality & Reflection

Analysis Index

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Navigation index for the run's analysis artifacts. Maps each artifact to its role, its consuming article section, and its evidentiary basis.

Artifact Dependency Map

graph TD
  DATA[Stage A data] --> CLASS[classification/*]
  DATA --> RISK[risk-scoring/*]
  DATA --> INTEL[intelligence/*]
  CLASS --> SYNTH[synthesis-summary]
  RISK --> SYNTH
  INTEL --> SYNTH
  SYNTH --> EXT[extended/*]
  SYNTH --> REFLECT[methodology-reflection]

Classification Layer

• classification/significance-classification.md — why this cycle moment matters; tier + BLUF.
• classification/actor-mapping.md — actor roster, influence, alliances, power brokers.
• classification/forces-analysis.md — driving vs restraining forces; net pressure.
• classification/impact-matrix.md — event×stakeholder cascade.

Risk-Scoring Layer

• risk-scoring/risk-matrix.md — WEP-banded, Admiralty-graded risk quadrant.
• risk-scoring/quantitative-swot.md — weighted SWOT with numeric scoring.

Intelligence Layer

• intelligence/synthesis-summary.md — integrated picture + key judgments (BLUF).
• intelligence/coalition-dynamics.md — majority corridors and cohesion.
• intelligence/scenario-forecast.md — six scenarios incl. structural break.
• intelligence/pestle-analysis.md — environmental scan.
• intelligence/stakeholder-map.md — influence×interest grid.
• intelligence/wildcards-blackswans.md — tail discontinuities.
• intelligence/historical-baseline.md — 2004–2024 reference class.
• intelligence/economic-context.md — IMF macro backdrop.
• intelligence/threat-model.md — political threat register + mitigations.
• intelligence/mcp-reliability-audit.md — data provenance.
• intelligence/methodology-reflection.md — tradecraft self-audit.
• intelligence/forward-projection.md — multi-year trajectory.
• intelligence/term-arc.md — EP10 term narrative arc.
• intelligence/seat-projection.md — EP11 seat projection.
• intelligence/mandate-fulfilment-scorecard.md — delivery scorecard.
• intelligence/presidency-trio-context.md — Council presidency context.
• intelligence/commission-wp-alignment.md — work-programme alignment.

Extended Layer

• extended/media-framing-analysis.md — narrative/salience framing.
• extended/forward-indicators.md — WEP-banded leading indicators.
• extended/comparative-international.md — cross-system comparison.
• extended/historical-parallels.md — analogous historical episodes.

Reading Order

1. Start with synthesis-summary.md for the integrated picture and key judgments.
2. Drill into scenario-forecast.md and threat-model.md for the forward outlook.
3. Consult economic-context.md and historical-baseline.md for grounding.
4. Check mcp-reliability-audit.md and methodology-reflection.md for provenance and tradecraft.

Evidentiary Basis Summary

The index spans 28 artifacts. Load-bearing structural artifacts rest on live A1–A2 feeds (composition, adopted texts, IMF); behavioural and projective artifacts carry explicit B3–C4 caps under limited-source. Every probabilistic artifact carries WEP bands and Admiralty grades.

Confidence

Index completeness is 🟢 HIGH — it is a deterministic map of produced files. Cross-references were verified against the manifest.

Reader Briefing

• Layers: classification → risk-scoring → intelligence → extended.
• Entry point: synthesis-summary.md.
• Provenance: mcp-reliability-audit.md + methodology-reflection.md.
• Confidence: 🟢 HIGH — deterministic artifact map.

Methodology Reflection

Article type: election-cycle · Data mode: limited-source · Horizon: 2026-05-31 → 2031-05-30 Step 10.5 — the final artifact. Reflects on the analytic process: which techniques were applied, where bias risk was highest, and how confidence was calibrated. This is the run's self-audit.

Purpose

A methodology reflection forces the analyst to separate what was concluded from how it was concluded. It documents the Structured Analytic Techniques (SATs) applied, the quality controls, and the residual epistemic risks, so a reviewer can audit the reasoning chain rather than just the conclusions.

Process Overview

graph LR
  DATA[Stage A: data collection] --> P1[Pass 1: apply methodologies]
  P1 --> P2[Pass 2: deepen + grade + cross-ref]
  P2 --> GATE[Stage C: completeness gate]
  GATE --> REFLECT[Step 10.5: this reflection]
  REFLECT --> RENDER[Stage D: deterministic render]

Structured Analytic Techniques Applied

The following SATs were applied across the run's artifacts (≥10 required per tradecraft standards):

• Key Assumptions Check — surfaced the platform-holds and modest-drift assumptions in synthesis-summary.md.
• Analysis of Competing Hypotheses (ACH) — six scenarios weighed in scenario-forecast.md.
• Quadrant Crunching — influence×interest and probability×impact grids in stakeholder-map.md and scenario-forecast.md.
• Indicators & Signposts Generation — five scenario signposts and threat triggers defined.
• What-If Analysis — wildcard and black-swan register in wildcards-blackswans.md.
• Devil's Advocacy — the structural-break scenario (F) challenges the continuity consensus.
• Red-Team / Outside View — historical reference class in historical-baseline.md.
• Force-Field Analysis — driving vs restraining forces in forces-analysis.md.
• Cross-Impact Matrix — event×stakeholder cascade in impact-matrix.md.
• Weighted Ranking — risk-weighted threat ordering in threat-model.md and weighted SWOT in quantitative-swot.md.
• Pre-Mortem Analysis — compound attack-path decomposition (T4→T3→T1).
• Structured Self-Critique — this reflection plus the Pass-2 deepening cycle.

Bias-Risk Audit

Confidence Calibration

Confidence was calibrated by separating WEP probability (likelihood) from Admiralty grade (evidence quality), per OSINT standards. Load-bearing structural facts carry A1–A2 grades; behavioural and projective judgments are explicitly capped at B3–C4 and flagged as inferred. The limited-source declaration in manifest.json discounts line floors and signals the reduced evidentiary base to all consumers.

Residual Epistemic Risks

The dominant residual risk is the absence of per-MEP roll-call data, which converts every cohesion and defection judgment from measured to inferred. The second is turnout, structurally unknowable until 2029. Both are transparently flagged rather than papered over. A reviewer should treat all C-graded judgments as directional, not precise.

Process Verdict

The run met its tradecraft obligations: ≥10 SATs applied, WEP+Admiralty discipline maintained on probabilistic artifacts, bias controls documented, and degraded-data limits declared. The honest verdict is a directionally-confident, precision-limited analysis appropriate to the available evidence.

Reader Briefing

• SATs: ≥12 techniques applied across the artifact set.
• Bias controls: explicit tail scenario, devil's advocacy, historical baseline, Admiralty caps.
• Calibration: WEP (likelihood) separated from Admiralty (evidence quality) throughout.
• Verdict: directionally confident, precision-limited — honest to the degraded evidence base.

Provenance & Audit

• Article type: election-cycle
• Run date: 2026-05-31
• Run id: election-cycle
• Gate result: PENDING
• Analysis tree: analysis/daily/2026-05-31/election-cycle
• Manifest: manifest.json

情报技术参考

本文基于 Hack23 AB 情报技术库制作。本次运行中应用的所有方法论和工件模板均链接如下。

工件模板

• 📘 分析模板库索引 分析模板库索引 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🎭 参与者映射 参与者映射 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🛡️ 参与者威胁画像 参与者威胁画像 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📚 分析索引（运行工件导航器） 分析索引（运行工件导航器） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🤝 联盟动态 联盟动态 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🧮 联盟数学 联盟数学 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📋 Commission Wp Alignment Commission Wp Alignment — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🌐 比较国际分析 比较国际分析 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🌳 后果树 后果树 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🗺️ 交叉引用地图 交叉引用地图 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔁 跨运行差异（贝叶斯增量） 跨运行差异（贝叶斯增量） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔁 跨会议情报 跨会议情报 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🧭 Data Availability Assessment Data Availability Assessment — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📦 数据下载清单 数据下载清单 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔍 深度政治分析（长篇） 深度政治分析（长篇） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🪞 魔鬼代言人分析 魔鬼代言人分析 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 💶 经济背景（世界银行与 IMF） 经济背景（世界银行与 IMF） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📋 高管简报 高管简报 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⚙️ 力场分析（勒温力场） 力场分析（勒温力场） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔭 前瞻指标 前瞻指标 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔭 Forward Projection Forward Projection — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📜 历史基线 历史基线 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📜 历史类比 历史类比 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 💶 Imf Vintage Audit Imf Vintage Audit — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📊 影响矩阵（事件×利益相关方） 影响矩阵（事件×利益相关方） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔧 实施可行性 实施可行性 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🧠 情报评估 情报评估 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🛡️ 立法干扰 立法干扰 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🛤️ Legislative Pipeline Forecast Legislative Pipeline Forecast — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⏱️ 立法速度风险 立法速度风险 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📋 Mandate Fulfilment Scorecard Mandate Fulfilment Scorecard — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📡 MCP 可靠性审计 MCP 可靠性审计 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📰 媒体框架分析 媒体框架分析 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🪞 方法论反思（回顾） 方法论反思（回顾） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📅 Parliamentary Calendar Projection Parliamentary Calendar Projection — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🧭 按文件政治情报 按文件政治情报 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🌍 PESTLE 分析（六维扫描） PESTLE 分析（六维扫描） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 💼 政治资本风险 政治资本风险 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🏷️ 政治事件分类 政治事件分类 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🛡️ 政治威胁格局 政治威胁格局 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🇪🇺 Presidency Trio Context Presidency Trio Context — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⚖️ 定量 SWOT（数值+TOWS） 定量 SWOT（数值+TOWS） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ✅ 参考分析质量 参考分析质量 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⚠️ 政治风险评估 政治风险评估 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⚠️ 风险矩阵（5×5 可能性×影响） 风险矩阵（5×5 可能性×影响） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔮 情景预测（概率加权） 情景预测（概率加权） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🪑 Seat Projection Seat Projection — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 📊 会议基线（全会日历） 会议基线（全会日历） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⚖️ 重要性分类（五维评分表） 重要性分类（五维评分表） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⚖️ 政治重要性评分 政治重要性评分 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 👥 利益相关方影响评估 利益相关方影响评估 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 👥 利益相关方地图（权力×一致） 利益相关方地图（权力×一致） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⚖️ 政治 SWOT 分析 政治 SWOT 分析 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔗 综合摘要 综合摘要 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🗳️ Term Arc Term Arc — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🛡️ 政治威胁格局分析 政治威胁格局分析 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🛡️ 威胁模型（民主与制度） 威胁模型（民主与制度） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 👥 选民细分 选民细分 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🤝 投票模式 投票模式 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• ⚡ 万能牌与黑天鹅 万能牌与黑天鹅 — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗
• 🔧 工作流审计（代理运行自评） 工作流审计（代理运行自评） — EU Parliament Monitor 分析库中的模板。 查看构件模板 ↗

方法论

• 📘 方法论库索引 EU Parliament Monitor 使用的每一份分析工艺指南的索引 — 进入完整方法论库的入口。 查看方法论 ↗
• 🧭 AI 驱动分析指南 所有代理式工作流遵循的权威 10 步 AI 驱动分析协议 — 规则 1–22 及第 10.5 步方法论反思，采用积极语气和彩色编码的 Mermaid 图表。 查看方法论 ↗
• 🧭 Analytical Supplementary Methodology Analytical Supplementary Methodology — EU Parliament Monitor 分析库中的方法论。 查看方法论 ↗
• 📚 分析工件目录 每个生成文章的工作流产生的 39 个分析产物的主目录 — 将每个产物映射到其方法论、模板、深度下限和 Mermaid 图表类型。 查看方法论 ↗
• 🧭 Confidence Calibration Confidence Calibration — EU Parliament Monitor 分析库中的方法论。 查看方法论 ↗
• 🗳️ Electoral Cycle Methodology Electoral Cycle Methodology — EU Parliament Monitor 分析库中的方法论。 查看方法论 ↗
• 🗳️ 选举领域方法论 欧盟范围选举分析方法论 — 预测、欧洲议会 361 席阈值及成员国层面的联盟数学，以及选民分群框架。 查看方法论 ↗
• 🔭 Forward Projection Methodology Forward Projection Methodology — EU Parliament Monitor 分析库中的方法论。 查看方法论 ↗
• 💶 IMF 指标 → 文章类型映射 将 IMF 指标（WEO、Fiscal Monitor、IFS、BOP、ER、PCPS）映射到 EU Parliament Monitor 文章类型的权威参考 — 经济、货币、财政、贸易和 FDI 背景的主要数据源。 查看方法论 ↗
• 🛳️ OSINT 情报工艺标准 用于欧洲议会政治情报的 OSINT/INTOP 专业标准 — 信息源评估、归因、验证、分析可信度分级以及符合 GDPR 的收集。 查看方法论 ↗
• 🧭 分工件方法论 按产物划分的方法论说明 — 每种产物类型 34 个章节，附构建规则、质量信号以及在 C 阶段强制执行的行数下限。 查看方法论 ↗
• 🧭 按文档分析方法论 原子证据层方法论：用于提取、标注、评分并将单个 EP 文件（报告、动议、投票、委员会纪要）置于语境中的文档级指导。 查看方法论 ↗
• 🏷️ 政治事件分类指南 面向欧洲议会的政治分类法 — 对每个被分析的产物应用的行为者、立场、风险面与信息安全分类。 查看方法论 ↗
• ⚠️ 政治风险方法论 源自 Hack23 ISMS 的政治风险定量 5×5 可能性 × 影响评分 — 应用于欧洲议会的联盟、政策、预算、制度与地缘政治风险。 查看方法论 ↗
• ✒️ 政治风格指南 编辑与政治文风指南 — 受《经济学人》启发的语气、平衡性、归因规则、Mermaid 图表约定以及对全部 14 种语言的多语言考量。 查看方法论 ↗
• ⚖️ 政治 SWOT 框架 为欧盟政治行为者、联盟与政策立场调整的 SWOT 框架 — 含定量权重、TOWS 策略生成，以及每个象限项目 ≥ 80 词的深度下限。 查看方法论 ↗
• 🛡️ 政治威胁框架 用于欧洲议会的六维民主威胁框架 — 以 STRIDE 风格列举制度、程序、信息、联盟、外部干预与地缘政治威胁。 查看方法论 ↗
• 🧭 Seo Headers Policy Seo Headers Policy — EU Parliament Monitor 分析库中的方法论。 查看方法论 ↗
• 🧭 Source Triangulation Source Triangulation — EU Parliament Monitor 分析库中的方法论。 查看方法论 ↗
• 🧭 战略扩展方法论 核心方法论的战略扩展 — 情景规划、魔鬼代言人分析、通配牌与黑天鹅、长视野预测以及跨运行综合。 查看方法论 ↗
• 🧭 结构化元数据方法论 对每种 EP 文件类型进行结构化元数据提取、来源追踪与交叉链接的方法论 — 实现可复现的分析及 GDPR 第 30 条合规。 查看方法论 ↗
• 🔗 综合方法论 综合与评分方法论 — 通过重要性评分、可信度分级以及交叉引用完整性检查，将多个产物整合为连贯的情报产品。 查看方法论 ↗
• 🧭 Voter Segmentation Methodology Voter Segmentation Methodology — EU Parliament Monitor 分析库中的方法论。 查看方法论 ↗
• 🌍 世界银行指标 → 文章类型映射 将世界银行非经济开放数据指标映射到 EU Parliament Monitor 文章类型 — 涵盖健康、教育、社会、环境、人口、治理与创新。 查看方法论 ↗

分析索引

以下每个工件均由聚合器读取并为本文做出了贡献。原始 manifest.json 包含完整的机器可读列表，包括门控结果历史。

• 🔗 综合摘要 综合摘要 — EU Parliament Monitor 分析库中的模板。 综合摘要 查看构件 ↗
• ⚖️ 重要性分类（五维评分表） 重要性分类（五维评分表） — EU Parliament Monitor 分析库中的模板。 重要性 查看构件 ↗
• 🎭 参与者映射 参与者映射 — EU Parliament Monitor 分析库中的模板。 行动者与力量 查看构件 ↗
• ⚙️ 力场分析（勒温力场） 力场分析（勒温力场） — EU Parliament Monitor 分析库中的模板。 行动者与力量 查看构件 ↗
• 📊 影响矩阵（事件×利益相关方） 影响矩阵（事件×利益相关方） — EU Parliament Monitor 分析库中的模板。 行动者与力量 查看构件 ↗
• 🤝 联盟动态 联盟动态 — EU Parliament Monitor 分析库中的模板。 联盟与投票 查看构件 ↗
• 👥 利益相关方地图（权力×一致） 利益相关方地图（权力×一致） — EU Parliament Monitor 分析库中的模板。 利益相关者地图 查看构件 ↗
• 💶 经济背景（世界银行与 IMF） 经济背景（世界银行与 IMF） — EU Parliament Monitor 分析库中的模板。 经济背景 查看构件 ↗
• ⚠️ 风险矩阵（5×5 可能性×影响） 风险矩阵（5×5 可能性×影响） — EU Parliament Monitor 分析库中的模板。 风险评估 查看构件 ↗
• ⚖️ 定量 SWOT（数值+TOWS） 定量 SWOT（数值+TOWS） — EU Parliament Monitor 分析库中的模板。 风险评估 查看构件 ↗
• 🛡️ 威胁模型（民主与制度） 威胁模型（民主与制度） — EU Parliament Monitor 分析库中的模板。 威胁态势 查看构件 ↗
• 🔮 情景预测（概率加权） 情景预测（概率加权） — EU Parliament Monitor 分析库中的模板。 情景与意外事件 查看构件 ↗
• ⚡ 万能牌与黑天鹅 万能牌与黑天鹅 — EU Parliament Monitor 分析库中的模板。 情景与意外事件 查看构件 ↗
• 🔭 Forward Projection Forward Projection — EU Parliament Monitor 分析库中的分析产物。 关注要点 查看构件 ↗
• 🔭 前瞻指标 前瞻指标 — EU Parliament Monitor 分析库中的模板。 关注要点 查看构件 ↗
• 🗳️ Term Arc Term Arc — EU Parliament Monitor 分析库中的分析产物。 选举弧线与任期 查看构件 ↗
• 🪑 Seat Projection Seat Projection — EU Parliament Monitor 分析库中的分析产物。 选举弧线与任期 查看构件 ↗
• 📋 Mandate Fulfilment Scorecard Mandate Fulfilment Scorecard — EU Parliament Monitor 分析库中的分析产物。 选举弧线与任期 查看构件 ↗
• 🇪🇺 Presidency Trio Context Presidency Trio Context — EU Parliament Monitor 分析库中的分析产物。 选举弧线与任期 查看构件 ↗
• 📋 Commission Wp Alignment Commission Wp Alignment — EU Parliament Monitor 分析库中的分析产物。 选举弧线与任期 查看构件 ↗
• 🌍 PESTLE 分析（六维扫描） PESTLE 分析（六维扫描） — EU Parliament Monitor 分析库中的模板。 PESTLE与背景 查看构件 ↗
• 📜 历史基线 历史基线 — EU Parliament Monitor 分析库中的模板。 PESTLE与背景 查看构件 ↗
• 🌐 比较国际分析 比较国际分析 — EU Parliament Monitor 分析库中的模板。 扩展情报 查看构件 ↗
• 📜 历史类比 历史类比 — EU Parliament Monitor 分析库中的模板。 扩展情报 查看构件 ↗
• 📰 媒体框架分析 媒体框架分析 — EU Parliament Monitor 分析库中的模板。 扩展情报 查看构件 ↗
• 📡 MCP 可靠性审计 MCP 可靠性审计 — EU Parliament Monitor 分析库中的模板。 MCP可靠性审计 查看构件 ↗
• 📚 分析索引（运行工件导航器） 分析索引（运行工件导航器） — EU Parliament Monitor 分析库中的模板。 分析质量与反思 查看构件 ↗
• 🪞 方法论反思（回顾） 方法论反思（回顾） — EU Parliament Monitor 分析库中的模板。 分析质量与反思 查看构件 ↗