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:
A5004652682
ORCID evidence
Observed aliases (4)
- Damaris Felistus Mulwa (openalex, provider refresh)
- Damaris Felistus Mulwa (openalex, source metadata)
- Damaris Mulwa (openalex, provider refresh)
- Damaris Mulwa (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Inequality: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Job Displacement: 1 paper
- Other: 1 paper
- Wages: 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 |
|---|---|---|---|
| AI today augments mostly high‑skill cognitive work while low‑wage occupations face the greatest displacement risk; each percentage point rise in an occupation’s automation probability is associated with roughly $176 less in median annual pay, heightening risks for workers in Africa and other emerging markets.openalex | Damaris Felistus Mulwa provider id |
2026-01-07 | 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.