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:
A5093657807
ORCID evidence
Observed aliases (4)
- Unyime Ibekwe (openalex, provider refresh)
- Unyime Ibekwe (openalex, source metadata)
- Unyime Ufok Ibekwe (openalex, provider refresh)
- Unyime Ufok Ibekwe (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Employment: 1 paper
- Governance And Regulation: 1 paper
- Job Displacement: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| Small, cheap AI tools could become a pragmatic route to jobs in developing economies by boosting SME productivity, opening markets, formalizing firms and spawning new occupations; but the employment dividend depends on finance, infrastructure, skills and policy design.openalex | Unyime Ibekwe provider id |
2026-01-01 | 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.