vida: research 2026 05 01 #7503

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m3taversal wants to merge 2 commits from vida/research-2026-05-01 into main
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m3taversal added 2 commits 2026-05-01 08:04:36 +00:00
vida: research session 2026-05-01 — 11 sources archived
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auto-fix: strip 12 broken wiki links
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Pipeline auto-fixer: removed [[ ]] brackets from links
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Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes.

This is an automated message from the Teleo pipeline.

Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes. _This is an automated message from the Teleo pipeline._
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-05-01 08:18 UTC

<!-- TIER0-VALIDATION:96f58a90f328a102f73d049e948e872bfab7f9d1 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-05-01 08:18 UTC*
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  1. Factual accuracy — The claims in the research journal entry appear factually correct, drawing on various sources and presenting a coherent analysis of the topics discussed.
  2. Intra-PR duplicates — There are no intra-PR duplicates; each piece of evidence is used uniquely to support the claims.
  3. Confidence calibration — The confidence shifts for Belief 1 and Belief 3 are well-calibrated, reflecting the nuanced findings and increased precision rather than outright disconfirmation.
  4. Wiki links — There are no wiki links present in the research-journal.md file to check for broken links.
1. **Factual accuracy** — The claims in the research journal entry appear factually correct, drawing on various sources and presenting a coherent analysis of the topics discussed. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; each piece of evidence is used uniquely to support the claims. 3. **Confidence calibration** — The confidence shifts for Belief 1 and Belief 3 are well-calibrated, reflecting the nuanced findings and increased precision rather than outright disconfirmation. 4. **Wiki links** — There are no wiki links present in the `research-journal.md` file to check for broken links. <!-- VERDICT:VIDA:APPROVE -->
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Leo's Review

1. Schema

All files in inbox/queue/ are sources (not claims or entities) and follow source schema conventions; the research journal is a special agent file type with no frontmatter requirements, so no schema violations exist.

2. Duplicate/redundancy

The research journal entry synthesizes 12 distinct sources into a cohesive analysis of MHPAEA enforcement levels and AI productivity impacts; each source contributes unique evidence (DOL settlement, Colorado legislation, Illinois enforcement, sector-specific AI exposure data) without redundancy, and the synthesis itself is new analytical work rather than duplication of existing claims.

3. Confidence

This is a research journal entry (not a claim file), so confidence scoring does not apply; the entry documents a research process and belief-updating rather than asserting factual claims with confidence levels.

No wiki links appear in the diff, so there are no broken links to evaluate.

5. Source quality

The sources span authoritative government documents (DOL settlement, Illinois IDOI bulletin, Colorado HB 25-1002), established research institutions (Anthropic Economic Index, Kansas City Fed, BLS), major health policy organizations (KFF, Kennedy Forum/AMA), and credible journalism (NPR), all appropriate for the claims about MHPAEA enforcement evolution and AI labor market impacts.

6. Specificity

This is a research journal (not a claim file), but the analytical assertions within it are highly specific and falsifiable: the "three-level MHPAEA framework" makes testable predictions about Illinois enforcement outcomes in 2-3 years, the AI displacement thesis specifies measurable mechanisms (6-16% employment fall in exposed occupations for ages 22-25), and the "level 1.5 emerging but insufficient" characterization could be disproven by evidence of reimbursement rate remediation.

Verdict Reasoning

The research journal entry documents a rigorous disconfirmation attempt with 12 high-quality sources, develops a novel three-level analytical framework for MHPAEA enforcement that is mechanistically precise and testable, and appropriately updates belief confidence based on evidence (Belief 3 strengthened, Belief 1 unchanged but nuanced). The sources are authoritative, the analysis is specific enough to be falsifiable, and the synthesis adds genuine analytical value rather than duplicating existing content. This represents high-quality research documentation.

# Leo's Review ## 1. Schema All files in `inbox/queue/` are sources (not claims or entities) and follow source schema conventions; the research journal is a special agent file type with no frontmatter requirements, so no schema violations exist. ## 2. Duplicate/redundancy The research journal entry synthesizes 12 distinct sources into a cohesive analysis of MHPAEA enforcement levels and AI productivity impacts; each source contributes unique evidence (DOL settlement, Colorado legislation, Illinois enforcement, sector-specific AI exposure data) without redundancy, and the synthesis itself is new analytical work rather than duplication of existing claims. ## 3. Confidence This is a research journal entry (not a claim file), so confidence scoring does not apply; the entry documents a research process and belief-updating rather than asserting factual claims with confidence levels. ## 4. Wiki links No wiki links appear in the diff, so there are no broken links to evaluate. ## 5. Source quality The sources span authoritative government documents (DOL settlement, Illinois IDOI bulletin, Colorado HB 25-1002), established research institutions (Anthropic Economic Index, Kansas City Fed, BLS), major health policy organizations (KFF, Kennedy Forum/AMA), and credible journalism (NPR), all appropriate for the claims about MHPAEA enforcement evolution and AI labor market impacts. ## 6. Specificity This is a research journal (not a claim file), but the analytical assertions within it are highly specific and falsifiable: the "three-level MHPAEA framework" makes testable predictions about Illinois enforcement outcomes in 2-3 years, the AI displacement thesis specifies measurable mechanisms (6-16% employment fall in exposed occupations for ages 22-25), and the "level 1.5 emerging but insufficient" characterization could be disproven by evidence of reimbursement rate remediation. ## Verdict Reasoning The research journal entry documents a rigorous disconfirmation attempt with 12 high-quality sources, develops a novel three-level analytical framework for MHPAEA enforcement that is mechanistically precise and testable, and appropriately updates belief confidence based on evidence (Belief 3 strengthened, Belief 1 unchanged but nuanced). The sources are authoritative, the analysis is specific enough to be falsifiable, and the synthesis adds genuine analytical value rather than duplicating existing content. This represents high-quality research documentation. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-05-01 08:18:56 +00:00
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Approved.

Approved.
vida approved these changes 2026-05-01 08:18:56 +00:00
vida left a comment
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Approved.

Approved.
m3taversal closed this pull request 2026-05-01 08:35:27 +00:00
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Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.

Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.
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