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
1/1Semantic Scholar citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2296873534
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Dominik Hangartner (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 1 paper
- Org Design: 1 paper
Claim outcomes
- Employment: 1 paper
- Governance And Regulation: 1 paper
- Output Quality: 1 paper
- Task Allocation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Germany’s Job-Turbo program sharply raised refugee employment: intensified early-stage job-search assistance nearly doubled exit-to-job rates for Ukrainian arrivals and produced broad gains in regular, sustained employment while leaving native and other immigrant jobseekers unaffected.semantic_scholar | Dominik Hangartner provider id |
Fetched 2026-06-29 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.