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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2352020205
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- David Marguerit (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Inequality: 1 paper
- Innovation: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Employment: 1 paper
- Innovation Output: 1 paper
- Wages: 1 paper
- Automation Exposure: 1 paper
- Inequality: 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 |
|---|---|---|---|
| AI that substitutes for workers depresses new-job creation and pay for low-skilled occupations, while AI that augments workers drives new roles and wage gains for high-skilled workers, widening pay gaps across the US labor market.openalex | David Marguerit provider id |
2026-09-01 | 15 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 15 cumulative citations. This is a coverage summary, not an author score or h-index.