{
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  "slug": "role-19-3099-00",
  "socCode": "19-3099.00",
  "title": "Social Scientists and Related Workers, All Other",
  "summary": "All social scientists and related workers not listed separately.",
  "aliases": [
    "Behavioral Scientist",
    "Computational Linguist",
    "Demographer",
    "Developmental Psychologist",
    "Director of Research",
    "Ethnologist",
    "Etymologist",
    "Experimental Psychologist",
    "Forensic Psychologist",
    "Group Tester",
    "Health Psychologist",
    "Human Factors Scientist"
  ],
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  "capabilities": [],
  "skills": [],
  "tools": [],
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      "cluster": "Education",
      "slug": "education"
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      "cluster": "Energy & Natural Resources",
      "slug": "energy-natural-resources"
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    {
      "cluster": "Healthcare & Human Services",
      "slug": "healthcare-human-services"
    },
    {
      "cluster": "Public Service & Safety",
      "slug": "public-service-safety"
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      "title": "Education",
      "slug": "education"
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    {
      "title": "Family and Consumer Sciences/Human Sciences",
      "slug": "family-and-consumer-sciences-human-sciences"
    },
    {
      "title": "Foreign Languages, Literatures, and Linguistics",
      "slug": "foreign-languages-literatures-and-linguistics"
    },
    {
      "title": "Health Professions and Related Programs",
      "slug": "health-professions-and-related-programs"
    },
    {
      "title": "Multi/Interdisciplinary Studies",
      "slug": "multi-interdisciplinary-studies"
    },
    {
      "title": "Natural Resources and Conservation",
      "slug": "natural-resources-and-conservation"
    },
    {
      "title": "Public Administration and Social Service Professions",
      "slug": "public-administration-and-social-service-professions"
    },
    {
      "title": "Social Sciences",
      "slug": "social-sciences"
    }
  ],
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    "employment": 36970,
    "areaTitle": "U.S."
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      {
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        "naics": "621330",
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  "aiSignals": [
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      "source": "frey_osborne",
      "label": "Computerization probability",
      "score": 0.04,
      "scale": "0-1 probability",
      "release": "2013-baseline-2016-employment-snapshot"
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      "source": "felten_aioe",
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      "scale": "relative exposure score",
      "release": "2021-plus-generative-ai-workbooks"
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    {
      "source": "felten_language_modeling_aioe",
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      "release": "2021-plus-generative-ai-workbooks"
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      "components": [
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        "note": "How much this job's abilities overlap with what AI systems can do, across many AI capabilities. A relative research score, not a forecast of job loss."
      },
      {
        "source": "eloundou_gamma",
        "label": "LLM task exposure, γ (OpenAI / Eloundou)",
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        "note": "Share of this job's tasks where a large language model plus simple tools could cut the time to do them by at least half. γ is capped at 1.0 and many jobs reach that ceiling, so treat a top score as 'in the top group', not a precise rank."
      },
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        "source": "microsoft_applicability",
        "label": "AI assistant applicability (Microsoft)",
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        "note": "How applicable today's AI assistants are to this job's activities, measured from real Microsoft Copilot conversations. Applicability is not the same as replacement."
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    "freyHistorical": {
      "source": "frey",
      "label": "Computerization probability (Frey & Osborne, 2013)",
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      "note": "A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking."
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      "annualOpeningsThousands": 3.2,
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    "sources": [
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        "source": "bls_employment_projections",
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        "source": "dingel_neiman",
        "version": "dingel-neiman-workathome"
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        "source": "frey_osborne",
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        "source": "microsoft_working_with_ai",
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        "source": "openai_gpts_are_gpts",
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    "tools": 0,
    "relatedRoles": 0
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  "source": {
    "dataset": "gold.onet_role_starter_surface",
    "version": "30.3",
    "generatedAt": "2026-06-02T21:00:32.945303+00:00",
    "contentHash": "6d75db1b5f39f7a4"
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}