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
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5055258559
ORCID evidence
Observed aliases (2)
- Nidhi S. Bisht (openalex, provider refresh)
- Nidhi S. Bisht (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Task Allocation: 1 paper
- Worker Satisfaction: 1 paper
- Inequality: 1 paper
- Skill Acquisition: 1 paper
- Wages: 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 |
|---|---|---|---|
| Platform ranking and allocation algorithms don't just match work — they remake workers by converting recognition into continuous, depersonalized scores, reshaping emotions, identities and bargaining power and amplifying platforms' control over labor.openalex | Nidhi S. Bisht 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.