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
0Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5120325165
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- David Shiala Ongoma (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Regulatory Compliance: 1 paper
- Skill Acquisition: 1 paper
- Wages: 1 paper
- Employment: 1 paper
- Hiring: 1 paper
- Market Structure: 1 paper
- Organizational Efficiency: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| An AI-driven matching pilot in Nairobi improved job matches and raised reported short-term wages for participating youth by dynamically inferring skills and live demand. The findings are promising but preliminary: the pilot is observational and needs larger, randomized or better-controlled studies to establish causality.semantic_scholar | David Shiala Ongoma provider id |
Fetched 2026-03-18 | 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.