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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5090988848
ORCID evidence
Observed aliases (1)
- Malin Gardberg (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Inequality: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Wages: 1 paper
- Automation Exposure: 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 |
|---|---|---|---|
| Women in Sweden are concentrated in occupations predicted to be most exposed to generative AI, creating a risk that ChatGPT-style tools could widen the gender pay gap. Simulations based on exposure scores and assumed task complementarities suggest increased wage disparity, though the magnitude depends heavily on adoption patterns and modelling assumptions.semantic_scholar | Malin Gardberg orcid |
Fetched 2026-05-25 | 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.