Placing "Rights And Liberties In Pawn Until The Defeat Of Hitlerismâ: Canadian Intelligence Gathering In The Second World War
Bibliographic record
Abstract
Abstract:\nA monograph regarding the history of Canada’s intelligence gathering apparatus has not been published, leaving a gap in modern historiography. In an attempt to partially fill this academic void, this essay examines RCMP intelligence Bulletins drafted during World War Two that have been declassified under the Access to Information Act. Analysis of the Bulletins clearly indicates the Canadian intelligence gathering apparatus underwent a massive expansion of scope during the war. The RCMP began investigating people and organizations based upon their race, religion, political affiliation or nationalist beliefs. Disregard of human rights and privacy during the period was so widespread, even the police remarked upon the depth of their new powers inside the Bulletins. Some people, such as the future Prime Minister Diefenbaker, worked to enshrine human rights in the Canadian constitution thereafter, attempting to prevent the police from acquiring such powers ever again. Due to parallel tactics used during World War Two and the modern day, an effective Supreme Court challenge could be mounted against tactics used in Canada’s war on terror based upon historical and constitutional grounds.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.035 | 0.020 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".