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
4Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5093398965
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Alasana Gitteh (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Employment: 1 paper
- Labor Share: 1 paper
- Other: 1 paper
- Wages: 1 paper
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Job Displacement: 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 patent accumulation corresponds to divergent firm-level labor outcomes in Italy: pooled results suggest modest overall gains, but firm-level analysis shows UniCredit cutting employment and labor costs while boosting productivity, whereas Zerynth faces broad declines in employment, wages and labor share, highlighting strong task-level substitution and the need for targeted reskilling and labor-augmenting policies.semantic_scholar | Alasana Gitteh provider id |
Fetched 2026-07-20 | 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.