Sessional Contract Faculty, Unionization, and Academic Freedom
Bibliographic record
Abstract
This article explores the relationship between unionization and academic freedom protections for sessional faculty in Ontario universities. Specifically, we compare university policies and contract provisions with a view to determining whether unionized sessionals hired on a per-course basis have stronger academic freedom protections than their non-union counterparts. We then explore whether particular kinds of bargaining unit structures are more conducive to achieving stronger academic freedom provisions. Finally, we consider whether academic freedom can be exercised effectively by sessionals, whether unionized or not. We conclude that unionization does help to produce stronger academic freedom protections for sessionalfaculty and that faculty association bargaining unit structures are most likely to help deliver this outcome. We further conclude that academic freedom is difficult to exercise for sessional faculty, regardless of union status, but that unionization offers greater protections for sessionals facing repercussions as a result of asserting their academic freedom.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 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 teacher head, 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".