FACTORY OCCUPATIONS IN ONTARIO, CANADA: REBUILDING INFRASTRUCTURES OF RESISTANCE
Bibliographic record
Abstract
This article discusses recent developments, including occupations and radical workers centers in the context of rank‐and‐file resistance and alternative organizing, and emerging challenges to union bureaucracies, in the current period in Canada's industrial heartland. Occupations provide a possibly crucial turning point in the working‐class response to capitalist economic crisis and in the formation and structure of working‐class organizing and struggle. In order to properly understand the development of occupations it is important to look at the present context of their emergence. This means situating occupations within the limiting practices of legal union structures. It also means, crucially, looking at the erosion of working‐class infrastructures of resistance, those institutions and spaces that have sustained struggles of the working classes and the oppressed, and situating occupations as part of broader attempts to renew those infrastructures. Infrastructures of resistance help people and communities to develop the capacities to sustain human struggles over time and place. They provide a basis for self‐directing these struggles strategically. They also allow for the crucial connection between local and immediate struggles and campaigns and broader and more thoroughgoing projects of contesting existing social structures. The article includes a discussion of attempts to (re)build infrastructures of resistance in Windsor, Ontario.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.023 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".