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:
A5128350364
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- tshingombe tshitadi (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Regulatory Compliance: 1 paper
- Market Structure: 1 paper
- Research Productivity: 1 paper
- Training Effectiveness: 1 paper
- Employment: 1 paper
- Governance And Regulation: 1 paper
- Hiring: 1 paper
- Innovation Output: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| An audit-ready curriculum framework can tighten the link between training and AI job requirements — improving employability and easing hiring frictions — but implementation is costly and must be continuously updated to avoid obsolescence and vendor lock-in.openalex | tshingombe tshitadi provider id |
2026-03-07 | 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.