Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5148752376
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Silas Mutabi Temba (openalex, provider refresh)
- Silas Mutabi Temba (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Ai Safety And Ethics: 1 paper
- Automation Exposure: 1 paper
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Organizational Efficiency: 1 paper
- Task Allocation: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Generative AI is fragmenting Kenya's performing-arts labour: veteran artists withdraw from recorded/digital spaces to protect communal affect, while younger practitioners adopt hybrid workflows that offload structural tasks to AI but preserve relational performance, risking unequal market capture and undervaluation of non-Western affective labour.openalex | Silas Mutabi Temba provider id |
2026-08-30 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.