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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5128033622
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Marina V. Buzmakova (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Ai Safety And Ethics: 1 paper
- Firm Productivity: 1 paper
- Job Displacement: 1 paper
- Market Structure: 1 paper
- Organizational Efficiency: 1 paper
- Other: 1 paper
- Research Productivity: 1 paper
- Social Protection: 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 |
|---|---|---|---|
| Russia should replace passive AI monitoring with a state-led 'economic cybernetics' system—a National Data Management System running a dynamic intersectoral balance model—to actively steer digitalization for productivity and partial technological sovereignty. The approach promises coordinated gains but raises acute risks: centralized control can deepen social stratification, displace workers, and concentrate data-power absent strong safeguards.semantic_scholar | Marina V. Buzmakova provider id |
Fetched 2026-03-18 | 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.