# Methodology **Research Project:** Meaning Crisis — Causal Hypotheses (PR-00001) **Date:** 2026-04-22 --- ## Research Design Two-phase process: (1) hypothesis generation via BeCreative, (2) hypothesis evaluation via Science FullCycle protocol. **Research Duration:** Single session, 2026-04-22 **Substrate Datasets Consulted:** 6 (DE-World-Values, DE-Mental-Health, DE-Church-Exits, DE-Social-Isolation, DE-Platform-Media, DE-Epistemic-Competence) **External sources queried:** None — evidence exclusively from curated Substrate datasets --- ## Phase 1: Hypothesis Generation — BeCreative (Verbalized Sampling) ### Protocol BeCreative uses Verbalized Sampling: generate N candidates internally, output the best K for quality and diversity. For this session: - **Internal candidates generated:** 5 - **Selected for evaluation:** 3 (best coverage of distinct mechanisms) - **Selection criteria:** - Each hypothesis must cover a distinct causal mechanism (no overlapping explanations) - Each hypothesis must be falsifiable (explicit falsification condition stated upfront) - Each hypothesis must go beyond AR-00004 (no restatements of proxy clusters — new causal angles required) - Each hypothesis must be testable against existing Substrate data ### Candidate Filtering The 5 internal candidates covered: political agency, attention velocity, values fragmentation, economic precarity, and algorithmic curation. Economic precarity and algorithmic curation were filtered out: - **Economic precarity** → too closely overlaps AR-00004's mental health proxy cluster; not a genuinely new causal angle - **Algorithmic curation** → mechanistically a subset of H2 (attention velocity); insufficient independent variance Final three selected: H1 (political), H2 (attentional), H3 (values-structural). --- ## Phase 2: Hypothesis Evaluation — Science FullCycle ### Pre-Commitment Protocol **Critical:** Threshold locked before any evidence was examined. Pre-committed threshold: **≥3/5 predicted observations confirmed = Supported**. This prevents post-hoc threshold adjustment based on results. The threshold was fixed before examining any Substrate data for any of the three hypotheses. ### Science FullCycle Steps (per hypothesis) For each hypothesis: 1. **State the hypothesis** — causal mechanism, direction, and scope 2. **State the falsification condition** — what specific observation would definitively refute it 3. **Derive 5 specific, independent predictions** — each must be checkable against existing Substrate data 4. **Check each prediction** — confirmed (✅), disconfirmed (❌), or absent from data (⚠️ gap) 5. **Apply pre-committed threshold** — count ✅; ≥3 → Supported, <3 → Inconclusive, ≥1 ❌ → Refuted 6. **Record verdict and data gaps** ### Evidence Standards - Evidence must come from named Substrate datasets (no general knowledge claims) - "Not in Substrate" counts as a data gap (⚠️), not a confirmation or refutation - A gap does not downgrade Supported but limits confidence - Contradictory evidence (❌) carries more weight than gaps (⚠️) ### Verdict Taxonomy | Verdict | Criterion | |---|---| | ✅ Supported | ≥3/5 predictions confirmed, 0 refuted | | ⚠️ Inconclusive | <3/5 confirmed (data gaps or weak association, not refuted) | | ❌ Refuted | ≥1 prediction directly contradicted by Substrate data | --- ## Quality Considerations **Strengths:** - Pre-commitment prevents Researcher Degrees of Freedom inflation - All evidence from a single, auditable source (Substrate datasets) - H3's key evidence is within-dataset (same WVS respondents, same waves) — strongest possible design given available data **Limitations:** - Substrate datasets are cross-sectional or aggregate; temporal ordering cannot be established without longitudinal individual-level data (SOEP) - H3 finding is correlational — postmaterialism rising while satisfaction falling is consistent with PM causing the decline, but also with reverse causation or shared confounders (economic shocks, COVID-19 period) - H1 and H2 rely on dataset-level associations across different surveys — ecological fallacy risk - Cross-national comparison needed to rule out Germany-specific confounders for H3 **Reproducibility:** This protocol is fully reproducible given the same Substrate datasets. Any researcher with access to DE-World-Values, DE-Mental-Health, DE-Church-Exits, DE-Social-Isolation, DE-Platform-Media, and DE-Epistemic-Competence can re-run the evidence checks and verify the verdicts.