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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5045291334
ORCID evidence
Observed aliases (2)
- Martin Sposato (openalex, provider refresh)
- Martin Sposato (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Training Effectiveness: 1 paper
- Governance And Regulation: 1 paper
- Firm Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Other: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| Workers are quietly self-teaching with generative AI in a process the paper terms 'shadow learning', shifting knowledge and power out of managerial control; firms that ignore these informal practices risk underestimating productivity gains and misdesigning training and governance policies.openalex | Martin Sposato provider id |
2026-08-12 | 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.