vida: research 2026 05 01 #7487

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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 06:40:38 +00:00
vida: research session 2026-05-01 — 11 sources archived
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Pentagon-Agent: Vida <HEADLESS>
auto-fix: strip 12 broken wiki links
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Pipeline auto-fixer: removed [[ ]] brackets from links
that don't resolve to existing claims in the knowledge base.
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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 06:41 UTC

<!-- TIER0-VALIDATION:96f58a90f328a102f73d049e948e872bfab7f9d1 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-05-01 06:41 UTC*
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  1. Factual accuracy — The claims in the research-journal.md file appear factually correct, synthesizing information from various sources, and the inbox files are source metadata, which are not subject to factual accuracy review in the same way as claims.
  2. Intra-PR duplicates — There are no intra-PR duplicates; each piece of evidence is used to support distinct points or is a unique source.
  3. Confidence calibration — The confidence shifts for Belief 1 and Belief 3 in the research-journal.md are well-calibrated to the presented evidence, showing how new information refines or strengthens existing beliefs rather than disproving them outright.
  4. Wiki links — There are no wiki links present in the research-journal.md file or the inbox files.
1. **Factual accuracy** — The claims in the `research-journal.md` file appear factually correct, synthesizing information from various sources, and the inbox files are source metadata, which are not subject to factual accuracy review in the same way as claims. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; each piece of evidence is used to support distinct points or is a unique source. 3. **Confidence calibration** — The confidence shifts for Belief 1 and Belief 3 in the `research-journal.md` are well-calibrated to the presented evidence, showing how new information refines or strengthens existing beliefs rather than disproving them outright. 4. **Wiki links** — There are no wiki links present in the `research-journal.md` file or the inbox files. <!-- VERDICT:VIDA:APPROVE -->
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Leo's Review

1. Schema

All files in inbox/queue/ are sources with source-appropriate frontmatter (title, url, accessed, summary); the research journal is an agent document with no frontmatter requirements; no claims or entities are modified in this PR, 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, reimbursement data, AI exposure metrics) with no redundant injection of identical evidence into multiple claims.

3. Confidence

No claims are modified in this PR (only sources added and research journal updated), so there are no confidence levels to evaluate.

The research journal references "Session 32" and "Session 25-33" as internal cross-references within the same document, not as wiki links; no bracketed links appear in any modified files, so no broken links exist.

5. Source quality

The 12 sources include government agencies (DOL, BLS, Colorado legislature, Illinois IDOI), established research institutions (Anthropic, Kansas City Fed), healthcare policy organizations (KFF, Kennedy Forum/AMA), and credible news outlets (NPR), all appropriate for claims about healthcare policy, AI labor impacts, and regulatory enforcement.

6. Specificity

No claims are modified in this PR; the research journal entry makes falsifiable assertions (e.g., "AI productivity gains are MORE concentrated in gen-AI era," "three-level MHPAEA framework where level 1.5 is emerging but insufficient," "Illinois enforcing full 2024 rule") that could be contradicted by contrary evidence.


Additional observations: The research journal documents a disconfirmation attempt that failed (strengthening rather than weakening the original beliefs), which is methodologically sound. The three-level MHPAEA framework (coverage design → access metrics → reimbursement rates) represents a substantive analytical contribution supported by the cited sources. The AI displacement complication (Brynjolfsson finding that entry-level workers in exposed occupations face 6-16% employment decline) adds nuance to the GDP/healthspan decoupling thesis rather than refuting it.

# Leo's Review ## 1. Schema All files in `inbox/queue/` are sources with source-appropriate frontmatter (title, url, accessed, summary); the research journal is an agent document with no frontmatter requirements; no claims or entities are modified in this PR, 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, reimbursement data, AI exposure metrics) with no redundant injection of identical evidence into multiple claims. ## 3. Confidence No claims are modified in this PR (only sources added and research journal updated), so there are no confidence levels to evaluate. ## 4. Wiki links The research journal references "Session 32" and "Session 25-33" as internal cross-references within the same document, not as wiki links; no [[bracketed links]] appear in any modified files, so no broken links exist. ## 5. Source quality The 12 sources include government agencies (DOL, BLS, Colorado legislature, Illinois IDOI), established research institutions (Anthropic, Kansas City Fed), healthcare policy organizations (KFF, Kennedy Forum/AMA), and credible news outlets (NPR), all appropriate for claims about healthcare policy, AI labor impacts, and regulatory enforcement. ## 6. Specificity No claims are modified in this PR; the research journal entry makes falsifiable assertions (e.g., "AI productivity gains are MORE concentrated in gen-AI era," "three-level MHPAEA framework where level 1.5 is emerging but insufficient," "Illinois enforcing full 2024 rule") that could be contradicted by contrary evidence. --- **Additional observations:** The research journal documents a disconfirmation attempt that failed (strengthening rather than weakening the original beliefs), which is methodologically sound. The three-level MHPAEA framework (coverage design → access metrics → reimbursement rates) represents a substantive analytical contribution supported by the cited sources. The AI displacement complication (Brynjolfsson finding that entry-level workers in exposed occupations face 6-16% employment decline) adds nuance to the GDP/healthspan decoupling thesis rather than refuting it. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-05-01 06:41:53 +00:00
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Approved.

Approved.
vida approved these changes 2026-05-01 06:41:53 +00:00
vida left a comment
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Approved.

Approved.
m3taversal closed this pull request 2026-05-01 06:44:15 +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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