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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5116234906
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Ifeanyichukwu Jeffrey Okwesa (openalex, provider refresh)
- Ifeanyichukwu Jeffrey Okwesa (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
- Org Design: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Adoption Rate: 1 paper
- Ai Safety And Ethics: 1 paper
- Firm Productivity: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Inequality: 1 paper
- Innovation Output: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Banking supervisors and firms will gain more from fixing data, governance and explainability than from marginally better black‑box models; regulators should prioritise stress‑aware, auditable and privacy‑preserving analytics over raw predictive accuracy.openalex | Ifeanyichukwu Jeffrey Okwesa provider id |
2026-09-14 | 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.