We Hear the Whistle Call: The Second World War in Glace Bay, Cape Breton
Bibliographic record
Abstract
Many historians have presented the narrative of Canada’s Second World War experience as a “good” war. Individuals and communities came together in patriotism and a common purpose to furnish the national war effort with military manpower, labour, financial contributions, and voluntary efforts. As the dark years of the Great Depression gave way to unprecedented levels of industrial and economic growth, falling unemployment rates, increased urbanization, and a wealth of social programs, Canada’s future was bright. However, this optimistic picture is not representative of Canada as a whole. Some regions fared better than others, and industrial Cape Breton was one of those that benefited the least from the opportunities presented by the war. Glace Bay, Cape Breton’s largest mining town and long-time hotbed of industrial strife and labour radicalism, serves as an ideal case study of the region’s largely unprofitable and unchanging wartime experience. Long plagued by poverty, poor living conditions, and underdeveloped industry, and desperately seeking to break free of its destitution, Glace Bay tried and failed to take advantage of wartime opportunities for industrial diversification and local improvement.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.035 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".