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
2Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2222294351
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Qiyun Fang (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Employment: 1 paper
- Labor Share: 1 paper
- Ai Safety And Ethics: 1 paper
- Governance And Regulation: 1 paper
- Task Allocation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Cross-country evidence suggests AI adoption is linked with lower female employment and economic contribution overall, but in strongly male-biased labor markets AI's skill-restructuring and limited time-saving effects can partially mitigate those losses; the net impact depends heavily on institutional context and gender structure.openalex | Qiyun Fang provider id |
2026-01-21 | 0 |
Citation observation summary
Semantic Scholar 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.