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: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5123296188
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Tribunal of Bacău (openalex, provider refresh)
- Tribunal of Bacău (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Employment: 1 paper
- Inequality: 1 paper
- Job Displacement: 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 |
|---|---|---|---|
| AI will reshape Romanian work rather than simply replace it: in the next 24–36 months automation is expected to transform many roles and widen skill and wage polarization instead of causing widespread job loss. Rigid public-sector rules and uneven retraining capacity will slow adjustment and amplify collective-bargaining and strike risks compared with a more flexible private sector.openalex | Tribunal of Bacău provider id |
2025-12-14 | 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.