Bargaining for Contract Academic Staff at <scp>E</scp>nglish <scp>C</scp>anadian Universities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Successful unionization of, and conclusion of collective agreements for, contract academic staff in E nglish C anada challenges the received wisdom that the W agner A ct model is an insurmountable obstacle to the unionization of contingent labor. It provides an example that might prove instructive for other contingent workers. This article describes the process of unionization of contract academic staff in E nglish C anada and seeks to explain its relative success. The exceptional situation of contract academic staff as nonunionized workers in an otherwise unionized environment, access to the expertise and resources of large, national unions or associations and a sophisticated national strategy were contributing factors to successful unionization. The article also considers the degree to which contract academic staff collective agreements fulfill the promise of unionization. We analyze sample collective agreements, noting the variety and strength of various contractual models. We conclude by suggesting that contract academic staff have benefitted considerably from unionization. Despite these successes, the experience of contract academic staff supports critiques of the W agner A ct model as applied to contingent labor.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it