Bibliographic record
Abstract
Universities are not only economic engines but societal ones. This book interrogates the embeddedness of Higher Education (HE) systems in national social contracts, and discusses how their renegotiation is at play in the organisation of studentsâ access to universities. Structured around the central concept of the social contract, the growing recognition of the role of HE in its implementation, and regulations governing both individual and collective access, Higher Education in Societies: A Multiscale Perspective, explores the shifting mission of HE over the years from one thought to produce an elite to one of distributive justice by presenting research at the macro, meso and micro levels. In bringing together researchers from different countries, continents, and disciplines to study the same issue through a multiscale analysis, this book forms the starting line for further theoretical and methodological debate on the value of weaving together different approaches to the study of HE, including historical, comparative, sociological, organisational, institutional, quantitative, and qualitative.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".