Org Watch

{
  "id": "org-watch",
  "numericId": null,
  "path": "/knowledge-base/responses/org-watch/",
  "filePath": "knowledge-base/responses/org-watch.mdx",
  "title": "Org Watch",
  "quality": 23,
  "readerImportance": 20,
  "researchImportance": 17,
  "tacticalValue": null,
  "contentFormat": "article",
  "tractability": null,
  "neglectedness": null,
  "uncertainty": null,
  "causalLevel": null,
  "lastUpdated": "2026-03-13",
  "dateCreated": "2026-02-15",
  "llmSummary": "Org Watch is a tracking website by Issa Rice that monitors EA and AI safety organizations, but the article lacks concrete information about its actual features, scope, or current status. The piece reads more like speculative analysis about what the tool might do rather than documentation of an established resource.",
  "description": "A tracking website created by Issa Rice that monitors various organizations, primarily in the effective altruism and AI safety spaces, providing data on funding, personnel, and organizational activities.",
  "ratings": {
    "novelty": 2,
    "rigor": 3,
    "actionability": 2,
    "completeness": 2
  },
  "category": "responses",
  "subcategory": "epistemic-platforms",
  "clusters": [
    "community",
    "ai-safety"
  ],
  "metrics": {
    "wordCount": 1069,
    "tableCount": 2,
    "diagramCount": 0,
    "internalLinks": 13,
    "externalLinks": 1,
    "footnoteCount": 0,
    "bulletRatio": 0.17,
    "sectionCount": 12,
    "hasOverview": true,
    "structuralScore": 10
  },
  "suggestedQuality": 67,
  "updateFrequency": 45,
  "evergreen": true,
  "wordCount": 1069,
  "unconvertedLinks": [],
  "unconvertedLinkCount": 0,
  "convertedLinkCount": 0,
  "backlinkCount": 3,
  "citationHealth": {
    "total": 1,
    "withQuotes": 0,
    "verified": 0,
    "accuracyChecked": 0,
    "accurate": 0,
    "inaccurate": 0,
    "avgScore": null
  },
  "hallucinationRisk": {
    "level": "high",
    "score": 75,
    "factors": [
      "no-citations",
      "low-rigor-score",
      "low-quality-score",
      "few-external-sources"
    ]
  },
  "entityType": "project",
  "redundancy": {
    "maxSimilarity": 23,
    "similarPages": [
      {
        "id": "ai-watch",
        "title": "AI Watch",
        "path": "/knowledge-base/responses/ai-watch/",
        "similarity": 23
      },
      {
        "id": "timelines-wiki",
        "title": "Timelines Wiki",
        "path": "/knowledge-base/responses/timelines-wiki/",
        "similarity": 17
      },
      {
        "id": "issa-rice",
        "title": "Issa Rice",
        "path": "/knowledge-base/people/issa-rice/",
        "similarity": 16
      },
      {
        "id": "donations-list-website",
        "title": "Donations List Website",
        "path": "/knowledge-base/responses/donations-list-website/",
        "similarity": 16
      },
      {
        "id": "ai-impacts",
        "title": "AI Impacts",
        "path": "/knowledge-base/organizations/ai-impacts/",
        "similarity": 13
      }
    ]
  },
  "changeHistory": [
    {
      "date": "2026-02-19",
      "branch": "claude/citation-pipeline-iteration-KvR2n",
      "title": "Citation pipeline improvements and footnote normalization",
      "summary": "Fixed citation extraction to handle all footnote formats (text+bare URL), created a\nfootnote normalization script that auto-converted 58 non-standard footnotes to\nmarkdown-link format, switched dashboard export from JSON/.cache to YAML/data/ for\nproduction compatibility, ran the citation accuracy pipeline on 5 pages\n(rethink-priorities, cea, compute-governance, hewlett-foundation,\ncenter-for-applied-rationality) producing 232 citation checks with 57% accurate, 16%\nflagged, re-verified colorado-ai-act archive outside sandbox (18/19 verified), and\nimproved difficulty distribution to use structured categories (easy/medium/hard) with\nnormalization fallback.",
      "model": "claude-opus-4-6",
      "duration": "~1h"
    }
  ],
  "coverage": {
    "passing": 6,
    "total": 13,
    "targets": {
      "tables": 4,
      "diagrams": 0,
      "internalLinks": 9,
      "externalLinks": 5,
      "footnotes": 3,
      "references": 3
    },
    "actuals": {
      "tables": 2,
      "diagrams": 0,
      "internalLinks": 13,
      "externalLinks": 1,
      "footnotes": 0,
      "references": 0,
      "quotesWithQuotes": 0,
      "quotesTotal": 1,
      "accuracyChecked": 0,
      "accuracyTotal": 1
    },
    "items": {
      "llmSummary": "green",
      "schedule": "green",
      "entity": "green",
      "editHistory": "green",
      "overview": "green",
      "tables": "amber",
      "diagrams": "red",
      "internalLinks": "green",
      "externalLinks": "amber",
      "footnotes": "red",
      "references": "red",
      "quotes": "red",
      "accuracy": "red"
    },
    "editHistoryCount": 1,
    "ratingsString": "N:2 R:3 A:2 C:2"
  },
  "readerRank": 522,
  "researchRank": 515,
  "recommendedScore": 77.38
}

No external links