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:
A5118647082
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Mohammadhashem Moosavihaghighi (openalex, provider refresh)
- Mohammadhashem Moosavihaghighi (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Other: 1 paper
- Employment: 1 paper
- 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 |
|---|---|---|---|
| AI lifts productivity and eases unemployment only briefly but deepens inequality unless policy adapts in real time; dynamic reskilling and AI-linked taxation outperform static interventions, though entrenched political influence can prevent reform until a public tipping point is reached.openalex | Mohammadhashem Moosavihaghighi provider id |
2026-02-21 | 1 |
Citation observation summary
OpenAlex 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.