Generational Narrative Index (GNI) Dataset: YouTube Audience Discourse on Generational Podcast Interviews — INIT Framework Empirical Validation Corpus (n=2,001, April 2026)

This dataset contains 2,001 YouTube comments collected viathe YouTube Data API v3 (April 2026) across five searchdomains targeting audience discourse on generationalpodcast and interview content:(1) baby boomer interview life lessons legacy wisdom podcast(2) millennial personal growth career journey crisis podcast(3) gen z activism social change identity podcast interview(4) older generation storytelling heritage tradition interview(5) young generation social justice future change interview The corpus is the primary empirical validation dataset forthe Generational Narrative Index (GNI) — a novelcomputational metric measuring the proportion of narrativeidentity archetype markers in naturalistic audiencediscourse about generational podcast speakers. GNI produces three scores per comment:- GNI_Legacy: proportion of Legacy Narrator markers- GNI_Journey: proportion of Journey Narrator markers- GNI_Catalyst: proportion of Catalyst Narrator markers Maps to 3 INIT archetypes (citation omitted blind review):- Legacy Narrator (Boomer prototype) → McAdams legacy/ wisdom markers; Erikson generativity stage- Journey Narrator (Millennial prototype) → McAdams growth/crisis markers; Erikson identity stage- Catalyst Narrator (Gen Z prototype) → Mannheim collective consciousness; activism/change markers Grounded in: McAdams & McLean (2013) narrative identitytheory, Erikson (1950) psychosocial development,Mannheim (1952) generational consciousness,INIT framework (citation omitted blind review). KEY FINDINGS:- Total corpus: n=2,001 comments, 50 videos- Categorised: 519 (25.9%)- Mean GNI_Catalyst: 0.4651 (dominant overall)- Mean GNI_Legacy: 0.3370 (second)- Mean GNI_Journey: 0.1979 (third)- Catalyst marker density: 0.6518/100 tokens (highest)- Legacy marker density: 0.5105/100 tokens- Journey marker density: 0.2309/100 tokens (lowest)- Catalyst Narrator cluster: 216 comments (41.6%)- Legacy Narrator cluster: 199 comments (38.3%)- Journey Narrator cluster: 104 comments (20.0%) DOMAIN-LEVEL FINDINGS:Baby Boomer domain: Legacy dominant (0.459) → confirms Legacy Narrator archetypeOlder generation/heritage domain: Legacy dominant (0.469) → strongest Legacy signal in corpusGen Z activism domain: Catalyst dominant (0.557) → confirms Catalyst Narrator archetypeYoung generation/social justice: Catalyst dominant (0.628) → highest Catalyst signal in corpusMillennial domain: Catalyst dominant (0.413) BUT Journey second at 0.318 — closest to Journey profile → confirms Journey Narrator as transitional archetype THEORETICAL SIGNIFICANCE:Domain-level GNI validates all 3 INIT archetypescomputationally. Boomer/heritage content → Legacy dominant.Gen Z/activism content → Catalyst dominant.Millennial content → Journey second (closest to archetype)but Catalyst still leads, suggesting Millennials occupythe transitional space between Legacy and Catalyst —consistent with INIT's Journey Narrator as bridge archetype.Journey Narrator underrepresentation (20% vs 38-42% forothers) confirms INIT prediction: Millennial narrativeidentity is the most complex and context-dependent. Files:- gni_videos.csv: 50 unique videos metadata- gni_comments.csv: 2,001 raw comments- gni_results.csv: GNI scores + INIT archetype annotation Method: YouTube Data API v3. Python 3.12, April 2026.