Bibliographic record
Abstract
on capital investment, and lack of proper oversight, the authors point out, can have serious consequences.The historically unprecedented example is that of Laurentian University, which in 2021 sought bankruptcy protection under the Companies' Creditors Arrangement Act (CCAA).According to the Auditor General of Ontario's Special Report on Laurentian University (2022), this decision caused the sudden termination of 341 tenured faculty and staff at Laurentian and its federated universities.Antonowicz and Jones state that while the crisis resulted from a combination of factors, the Laurentian board is also to be blamed because it had responsibility for oversight.They conclude: "The case clearly illustrates that poor governance oversight of financial and capital management can have catastrophic implications affecting students, faculty, staff, and the wider community" ( 156).The Role of University Governing Boards makes a significant contribution to the scholarship on Canadian higher education, education policy, and the history of university governance.The authors maintain that boards are pivotal components of bicameral university governance, historically embedded in the social foundation of the public university in Canada.Public universities have become increasingly complex organizations, and the book raises the interesting question of how the boards will continue to sustain their core roles and fulfill these expectations.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.017 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.015 |
| Insufficient payload (model declined to judge) | 0.005 | 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".