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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5053817571
ORCID evidence
Observed aliases (2)
- Emmanuelle Walkowiak (openalex, provider refresh)
- Emmanuelle Walkowiak (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Automation Exposure: 1 paper
- Task Allocation: 1 paper
- Ai Safety And Ethics: 1 paper
- Job Displacement: 1 paper
- Other: 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 |
|---|---|---|---|
| Most creative-sector tasks are headed toward hybrid human–AI workflows: a GPT‑4 semantic mapping of 593 Australian tasks finds only 2.7% clearly replaceable by AI, 11% effectively AI‑immune, and 86.3% best served by mixed human–AI configurations, with tacit knowledge limiting autonomy while codified structure plus novelty boosts AI feasibility.openalex | Emmanuelle Walkowiak provider id |
2026-08-02 | 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.