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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2456705822
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- J. Fourie (semantic scholar, provider refresh)
- Johan Fourie (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
Claim outcomes
- Team Performance: 1 paper
- Adoption Rate: 1 paper
- Automation Exposure: 1 paper
- Research Productivity: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| AI will first enlarge and then shrink research teams: a formal model finds teams peak when automated task coverage nears a high threshold (median ≈91%), forecasting early peaks in the most codifiable fields (algebra and theoretical computer science) around 2027–2029; current data through 2025 show no detectable change, consistent with limited effective adoption.arxiv | Johan Fourie provider id |
2026-08-09 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.