University governance and reform : policy, fads, and experience in international perspective
Bibliographic record
Abstract
Foreword H.G.Schuetze, W.Bruneau & G.Grosjean PART I University Governance Reform: The Drivers and the Driven H.G.Schuetze Reconsidering University Autonomy And Governance: From Academic Freedom To Institutional Autonomy P.Zgaga PART II: NORTH AMERICA The Provost Office as Key Decision-Maker in the Contemporary U.S. University: Toward a Theory of Institutional Change N.P.Stromquist Professors in Their Places: Governance in Canadian Higher Education W.Bruneau University Governance and Institutional Culture: A Canadian President's Perspective R.Paul The Politics of Policy Making in Post-Secondary Education in Canada and in the Province of Ontario: Implications for Governance P.Axelrod, T.Shanahan, R.Wellen & R.Desai-Trilokekar Liberality and Collaborative Governance in a New Private University: The Experience of Quest University J.Cohn PART III: LATIN AMERICA Where the Global and the Local Converge: Four Cases of Latin American Higher Education Reform A.Maldonado Reforms of University Governance in Mexico: Inducements or Impediments for Change? W.de Vries & G.Alvarez Mendiola Federal Policies and Governance Universities in Mexico, 1990-2010 A.Acosta Silva Higher Education Reform in Ecuador and its Effect on University Governance M.Saavedra PART IV: EAST ASIA AND AUSTRALIA Incorporation of National Universities in Japan: An Evaluation Six Years On M.Kaneko Japanese Universities: Current Challenges and Future Perspectives M.Homma University Autonomy, Academic Freedom and Intellectuals in China Qiang Zha Higher Education Reform in Indonesia: University Governance and Autonomy W.J.Jacob, Y.Wang, T.L.Pelkowski, R.Karsidi & A.D.Priyanto Transforming Australia's Higher Education System: New Accountability Policies for a Global Era? L.Vidovich
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.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".