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
3Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
119123798
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Arkodipta Sarkar (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Organizational Efficiency: 1 paper
- Employment: 1 paper
- Firm Productivity: 1 paper
- Hiring: 1 paper
- Social Protection: 1 paper
- Task Completion Time: 1 paper
- Wages: 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 |
|---|---|---|---|
| Local areas overseen by multiple elected representatives see more firms, jobs and economic activity, as mutual oversight trims cronyism and regulatory hold-ups; the gains are largest when politicians are partisan rivals, consistent with checks-and-balances constraining rent extraction.arxiv | Arkodipta Sarkar provider id |
2026-08-09 | 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.