The Bog‐like Ground on Which We Tread: Arbitrating Academic Freedom in Canada*
Bibliographic record
Abstract
Le sens de la liberté universitaire est en partie construit socialement au moyen de l'arbitrage. Cet article examine ce processus dans un contexte légal plus large et analyse les cas d'arbitrage de liberté universitaire les plus pertinents au Canada. Il étudie ce que nous révèle la construction sociale des arbitres concernant la liberté universitaire et comment les conditions conceptuelles et structurales de l'arbitrage influent sur son sens. The meaning of academic freedom is, in part, socially constructed through arbitration. This article examines that process in the larger legal context and analyses the most relevant Canadian arbitrations of academic freedom. It examines what the social construction by arbitrators tells us about academic freedom and how the conceptual and structural conditions of arbitration affect its meaning.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.040 | 0.054 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".