Bibliographic record
Abstract
Renegades: Canadians in the Spanish Civil War , by veteran journalist Michael Petrou, tells the story of the 1,681 Canadians who, between 1936 and 1939, defied Canadian law to fight fascism in the Spanish Civil war. The war pitted a left leaning, democratically elected Spanish government against a military uprising led by Francisco Franco and supported, with weapons and tens of thousands of troops, by Fascist Italy and Nazi Germany. By the time it was over, fascism had triumphed in Spain, and more than 400 Canadians were dead. Until now, little was known about these men and women, and about those who survived. Petrou has changed this. He has drawn on recently declassified material, interviewed veterans, and visited the battlefields of Spain to write the definitive history of Canadians in the war. Jack Granatstein, one of Canada's leading military historians, concludes: "Based on massive research, this is the best and most complete account of Canadians in the Spanish Civil War we are ever likely to get." Renegades reveals that Spanish Civil War veterans were pressured to become police informers, with the cooperation of the federal government; that a 1970 application by a veterans' group for non-profit status was opposed by the federal government out of fear that approving the application might offend Spain's fascist dictator, Francisco Franco; and that the RCMP spied on Canadian veterans at least until 1980, when one police report noted that the veterans' "political motivations are more in keeping with the NDP philosophies." Other highlights include: Detailed and vivid descriptions of the battles the Canadians fought, and their lives in Spain between action. The stories of Canadian prisoners of war are also told � as are accounts of Canadians who were imprisoned and otherwise punished, sometimes severely, by their own commanders. New and sensational information about Dr. Norman Bethune, whom Spanish authorities accused of espionage and of having a secretly fascist lover. The story of a young University Toronto student who was jailed as a suspected spy and was lucky to leave Spain alive. After reading recently declassified documents from Soviet archives about this man, Petrou tracked him down and interviewed him at the age of 90.
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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 | 0.010 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.432 | 0.138 |
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".