Markets in Higher Education. Rhetoric or Reality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Markets in Higher Education: Do They Promote Internal Efficiency? - Cost-sharing and Equity in Higher Education: Implications of Income Contingent Loans.- Transparency and Quality in Higher Education Markets.- Regulation and Competition in Higher Education.- The Evaluation of Welfare Under Alternative Models of Higher Education Finance.- Higher Education Policy as Orthodoxy: Being One Tale of Toxological Drift, Political Intention and Changing Circumstances.- Market Coordination of Higher Education: The United States.- ?Madly Off in all Directions?: Higher Education, Marketisation and Canadian Federalism.- Australian Higher Education National and Global Markets.- The Higher Education Market in the United Kingdom.- Rapid Expansion and Extensive Deregulation: The Development of Markets for Higher Education in the Netherlands.- Is There a Higher Education Market in Portugal?- Higher Education and Markets in France.- Conclusion.- Glossary.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.039 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it