“We Can’t Just Wrap Ourselves in the Flag:” Labour Nationalism, Global Solidarity, and the 2016 Fight to Save gm Oshawa
Bibliographic record
Abstract
Abstract Global labour studies scholarship has increasingly recognized the importance of building global solidarity of workers and their unions in response to globalization. Despite this, the labour movement’s embrace of global solidarity as a response to globalization has been incomplete, and at times contradictory. The more common response to globalization has been labour nationalism, which has commanded far less attention in the literature. This paper considers labour nationalism from the perspective of emerging theories of global solidarity, offering a 2016 rank-and-file-driven campaign to save a General Motors plant in Ontario as a case study in labour nationalism. Although nationalism continues to be a relatively effective mobilizing device, Unifor Local 222 has had very little success ‘keeping good jobs in Canada.’ Instead, the union has entrenched a collective action frame that makes space for more xenophobic and racist expressions of nationalism and undermines the prospects of building solidarity abroad and, paradoxically, at home.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".