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: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
46593493
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- J. Canedy (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Task Allocation: 1 paper
- Training Effectiveness: 1 paper
- Wages: 1 paper
- Automation Exposure: 1 paper
- Other: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| U.S. workforce retraining largely restores wages but rarely shifts workers away from automation-prone jobs; employer-led apprenticeships show the biggest payoff. The WIOA system appears to support short-term wage recovery for vulnerable workers but is not structured to deliver large-scale cross-industry transitions away from routine, automation-exposed work.arxiv | J. Canedy provider id |
2026-05-05 | 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.