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:
A5128142147
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Kirsten Mettler (openalex, provider refresh)
- Mettler, Kirsten (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Other: 1 paper
- Regulatory Compliance: 1 paper
- Market Structure: 1 paper
- Consumer Welfare: 1 paper
- Innovation Output: 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 |
|---|---|---|---|
| Treating EdTech firms as recipients of federal education funding would make vendors directly liable for discriminatory AI tools, forcing firms to internalize nondiscrimination obligations. The shift would reshape procurement, raise compliance costs, and alter market incentives for innovation and entry in the EdTech sector.openalex | Mettler, Kirsten provider id |
2026-03-05 | 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.