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
1Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2219281759
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Ömer Batuhan Beşirli (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Employment: 1 paper
- Other: 1 paper
- Automation Exposure: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Inequality: 1 paper
- Job Displacement: 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 |
|---|---|---|---|
| Public spending helps lower unemployment on average, but its power fades as automation and AI accelerate; in periods and countries with faster technological change, fiscal policy shows markedly weaker employment effects.openalex | Ömer Batuhan Beşirli provider id |
2025-12-23 | 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.