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
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5037265098
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Dan Tenney (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Turnover: 1 paper
- Research Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Ai Safety And Ethics: 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 |
|---|---|---|---|
| Explainable-AI applied to HR records finds overtime, travel and promotion gaps drive resignations more than pay; simulation suggests eliminating overtime could cut predicted attrition by about 17% and retain roughly 31 staff in the analyzed dataset, outperforming modest salary hikes.openalex | Dan Tenney provider id |
2026-03-11 | 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.