Bibliographic record
Abstract
Closing Sysco presents a history of deindustrialization and working-class resistance in the Cape Breton steel industry between 1945 and 2001.The Sydney Steel Works is at the heart of this story, having existed in tandem with Cape Breton's larger coal operations since the early twentieth century.The book explores the multifaceted nature of deindustrialization; the internal politics of the steelworkers' union; the successful efforts to nationalize the mill in 1967; the years in transition under public ownership; and the confrontations over health, safety, and environmental degradation in the 1990s and 2000s.Closing Sysco moves beyond the moment of closure to trace the cultural, historical, and political ramifications of deindustrialization that continue to play out in post-industrial Cape Breton Island.A significant intervention into the international literature on deindustrialization, this study pushes scholarship beyond the bounds of political economy and cultural change to begin tackling issues of bodily health, environment, and historical memory in post-industrial places.The experiences of the men and women who were displaced by the decline and closure of Sydney Steel are central to this book.Featuring interviews with former steelworkers, office employees, managers, politicians, and community activists, these one-on-one conversations reveal both the human cost of industrial closure and the lingering after-effects of deindustrialization.(Studies in Atlantic Canada History)
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.849 | 0.720 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".