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:
A5043535510
ORCID evidence
Observed aliases (4)
- Jonathan R.W. Temple (openalex, provider refresh)
- Jonathan R.W. Temple (openalex, source metadata)
- Jonathan Temple (openalex, provider refresh)
- Jonathan Temple (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Firm Productivity: 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 |
|---|---|---|---|
| Countries with higher measured human capital move out of low-productivity states much faster—median exit times 28 versus 79 years—so AI is likely to widen or narrow the 'intelligence divide' depending on whether it reduces learning and implementation costs rather than only augmenting existing skills.openalex | Jonathan R.W. Temple provider id |
2026-08-31 | 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.