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:
A5147239837
ORCID evidence
Observed aliases (2)
- Cynthia Hanna (openalex, provider refresh)
- Cynthia Hanna (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Inequality: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Fiscal And Macroeconomic: 1 paper
- Adoption Rate: 1 paper
- Automation Exposure: 1 paper
- Inequality: 1 paper
- Job Displacement: 1 paper
- Other: 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 promises large productivity gains but risks widening the global income gap: advanced economies appear to capture disproportionately larger growth benefits while middle‑ and low‑income countries lag, making urgent reskilling, infrastructure investment and international cooperation essential.openalex | Cynthia Hanna provider id |
2026-09-15 | 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.