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SayPro Process Categorizing GPT-Generated Topics by Population Domains

  1. Receive GPT Output:
    • Each prompt yields 100 topics related to population-focused partnerships.
  2. Preliminary Review:
    • Scan topics for relevance, clarity, and duplicates.
    • Flag any off-topic or unclear items for refinement.
  3. Categorization by Population Domains:
    Assign each topic to one or more of SayPro’s core population groups:
    • Youth (15–35 years)
    • Women & Girls
    • Men & Boys
    • Persons with Disabilities (PWDs)
    • Elderly / Older Persons (60+)
    • Migrants / Refugees / Displaced Persons
    • Indigenous / Tribal Communities
    • LGBTQIA+
    • Children (0–14 years)
    • Rural / Underserved Communities
    • Other Vulnerable Groups (specify)
  4. Tagging and Documentation:
    • Use a standardized tagging system (e.g., codes or keywords) for easy sorting.
    • Include brief notes if a topic spans multiple populations or needs special attention.
  5. Data Entry:
    • Upload categorized topics into SayPro’s content management system or database.
    • Ensure metadata includes prompt number, date, and population domain(s).
  6. Quality Assurance:
    • Conduct spot-check reviews to verify categorization accuracy.
    • Adjust categories based on feedback or evolving program needs.
  7. Reporting & Use:
    • Generate reports summarizing topical coverage by population group.
    • Feed categorized data into editorial, advocacy, and partnership development workflows.

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