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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5017829750
ORCID evidence
Observed aliases (1)
- Eva Selenko (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Skill Acquisition: 1 paper
- Inequality: 1 paper
- Employment: 1 paper
- Job Displacement: 1 paper
- Organizational Efficiency: 1 paper
- Skill Obsolescence: 1 paper
- Worker Satisfaction: 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 |
|---|---|---|---|
| STARA technologies are remapping careers: they can boost learning and productivity while also driving displacement, identity threat and opaque algorithmic gatekeeping; however, evidence is fragmented, skewed toward certain occupations, and needs more long‑term, sector‑specific study.openalex | Eva Selenko orcid |
2026-06-03 | 2 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 2 cumulative citations. This is a coverage summary, not an author score or h-index.