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 span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5143414447
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Bahl-Geun Roh (openalex, provider refresh)
- Bahl-Geun Roh (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Employment: 1 paper
- Organizational Efficiency: 1 paper
- Wages: 1 paper
- Output Quality: 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 |
|---|---|---|---|
| A three-case study argues AI can be reframed as an inclusion tool that links older adults and people with disabilities to paid work via a three-stage Education–Matching–Sustainability ecosystem and a triple-layered revenue model; the proposal is conceptual and awaits pilot testing to prove real-world impact.openalex | Bahl-Geun Roh provider id |
2026-08-25 | 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.