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
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5148095073
ORCID evidence
Observed aliases (2)
- June Yeoreum Kim (openalex, provider refresh)
- June Yeoreum Kim (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Adoption Rate: 1 paper
- Automation Exposure: 1 paper
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Skill Acquisition: 1 paper
- Task Allocation: 1 paper
- Team Performance: 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 |
|---|---|---|---|
| Robots in a Vietnamese EV plant don't replace welders — they need them: fieldwork shows workers routinely override and reinterpret AI prescriptions, meaning industrial AI's performance depends on embodied, tacit coordination rather than autonomous machines alone.openalex | June Yeoreum Kim provider id |
2026-08-25 | 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.