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
4Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5135301196
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Eugenia P. Bitsani (openalex, provider refresh)
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
- Skills Training: 1 paper
Claim outcomes
- Other: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| SMEs in one of the EU's poorest regions say lack of skills, money and social networks — not just technology — blocks AI adoption; without targeted investment in digital literacy and civic intermediation, AI risks entrenching rather than alleviating local employment inequalities.openalex | Eugenia P. Bitsani provider id |
2026-05-05 | 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.