{
  "docId": "019dd923-5e88-73ef-bd5e-098f571b9d20",
  "docSlug": "a298621ccd44ab3c",
  "documentTitle": "2024 University of Sydney The 2025 Skills Horizon",
  "authorId": "USydney",
  "authorName": "University of Sydney",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "academic_think_tank",
  "sourceTypeLabel": "Academic / think tank",
  "presentationDate": null,
  "orientation": "portrait",
  "aspectRatio": 0.707,
  "pageNumber": 25,
  "pageCount": 74,
  "prevPage": 24,
  "nextPage": 26,
  "slideType": "appendix_methodology",
  "function": "present_framework",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "Mentions TopicGPT as the specific framework used for analysis.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "photo"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5e-098f571b9d20/25",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5e-098f571b9d20",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5e-098f571b9d20.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5e-098f571b9d20#slide-25",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "We used large language models (LLMs) for topic modelling across a sample of these five outlets.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-5645-7637-bc9e-37f593579006",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.45,
        "w": 0.3,
        "x": 0.05,
        "y": 0.5
      },
      "kind": "image",
      "text": "Person reading a book",
      "attrs": null,
      "subkind": "photo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "1638cf64-8a75-4cdf-9ccc-66597ca2e462",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.5,
        "w": 0.45,
        "x": 0.5,
        "y": 0.25
      },
      "kind": "list",
      "text": "Best Business Books of the Year lists; Harvard Business Review; The Economist; World Economic Forum Annual Meeting; SXSW Conference",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f8682c87-8bb5-464b-a784-09501f538c27",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.45,
        "x": 0.5,
        "y": 0.8
      },
      "kind": "paragraph",
      "text": "For the analysis, we did as we teach–we employed AI. We used large language models (LLMs) for topic modelling across a sample of these five outlets. We used TopicGPT, a new, prompt-based, topic modelling framework to identify the topics and sub-topics that characterise the conversation.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2a66e18c-a5a7-497f-a421-265c77a1383b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.45,
        "x": 0.5,
        "y": 0.08
      },
      "kind": "paragraph",
      "text": "This is a behind-the-scenes look at how we did some of our research. It'll give you an idea of how we identified and analysed the public conversation. For everything else, keep reading.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7f0514f0-23b4-4b15-9840-96dbbeac64e9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.3,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "The world in words",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a2e8018a-a910-4c0e-a6eb-62a862b41377",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.3,
        "x": 0.05,
        "y": 0.2
      },
      "kind": "title",
      "text": "How we map the public conversation",
      "attrs": null,
      "subkind": "subtitle",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7d0e4be6-55ce-415c-b314-382f6dc69fad",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "TopicGPT",
      "slug": null,
      "matchId": "efd176d2-c4ae-4439-8d30-255d3ea3d139",
      "evidence": "Used as the primary topic modelling framework for the analysis.",
      "confidence": 1
    }
  ],
  "arcBeats": [
    {
      "to": 30,
      "from": 17,
      "beatId": "5c6e5f10-9505-49e8-b3c8-f39b532aa7f2",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Visualization",
      "beatSlug": "monroes-sequence-visualization",
      "evidence": "The document provides a vision for the future skills landscape.",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}