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 →
2Distinct papers
1Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2025–2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2373242080
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- S. Halkiewicz (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Productivity: 2 papers
- Adoption: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Decision Quality: 2 papers
- Error Rate: 2 papers
- Other: 1 paper
- Automation Exposure: 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 |
|---|---|---|---|
| Concentrated within-variation can break t-tests in saturated fixed-effect regressions, and no single critical value cures the boundary failure; constructing design-only contrasts (cycle-space sign-flips) gives finite-sample exact p-values under symmetric errors and delivers practical power via a cycle-packing algorithm.arxiv | S. Halkiewicz provider id |
2026-08-05 | 0 |
| A new double-permutation test fixes inflated DiD significance in small samples where cluster-robust t-tests over-reject; the nonparametric method keeps size correct across error distributions at modest power cost and is available in the sigDD R package.arxiv | S. Halkiewicz provider id |
2025-12-07 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.