World War II and the Rebirth and Death of Canada’s Merchant Marine
Bibliographic record
Abstract
Twice before the Second World War the Canadian merchant marine had collapsed in the face of competing conceptions of empire and commercial interest. Though once home to a thriving merchant fleet, the passing of the age of sail marked Canada's decline as a maritime nation. Most of the surviving merchant fleet sailed under British registry, employing British crews and officers. During the Second World War, Canada rebuilt its merchant marine. As the war drew to a close, the state, labour and enterprise supported the framing of a Canadian maritime policy to preserve the merchant shipping capacity developed during the war. The fleet's ambiguous origins, conflicting national trade policy, the absence of a laissez-faire international shipping market, the rise of cold-war tensions and the very peculiar problems of trade to the sterling bloc savaged post-war efforts to maintain the fleet. The timing and nature of the collapse were particularly Canadian. Barriers to currency convertibility, carriage restrictions, and high labour and production costs, proved formidable obstacles which representatives of the Canadian state were very largely powerless to overcome. In combination, these elements, rather than some invisible hand, explain why Canadian ship owners led the way in abandoning their national flag and why the state helped them. Sole attribution for the death of the merchant marine should no longer fall to unfavourable labour costs or union activism.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.037 | 0.015 |
| Scholarly communication | 0.013 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".