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:
A5010505088
ORCID evidence
Observed aliases (2)
- Davide Ravasi (openalex, provider refresh)
- Davide Ravasi (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Ai Safety And Ethics: 1 paper
- Creativity: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 1 paper
- Skill Obsolescence: 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 |
|---|---|---|---|
| Generative AI can accelerate and deepen qualitative theorizing by generating hypotheses, analogies and structured argument scaffolds, while shifting value toward human oversight and critical judgment; without robust prompts, provenance and adversarial checks, its use risks biased, hallucinatory, or deskilling effects that undermine research quality.openalex | Davide Ravasi provider id |
2026-07-31 | 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.