The origins and early history of Canada’s Cold War scientific intelligence, 1946-65
Bibliographic record
Abstract
In the process of creating the policies and structures that led to the formal organization of Canada’s Defence Research Board after the end of the Second World War, senior military and defence officials in Ottawa conceptualized and established a scientific intelligence bureau within the defence department. Recognizing the heightened military significance of science during the war, defence officials believed that scientific intelligence—the practice of analyzing scientific information for forecasting the weapons and warfare potential of enemy countries—could support and improve Canada’s military preparedness efforts in the immediate postwar period. Using recently opened government and military records, this article explores the origins and history of Canadian scientific intelligence during the early Cold War, framing the topic as useful for understanding Canada’s military past and Ottawa’s approach to some of the country’s top security and defence issues of the late 1940s through the mid-1960s.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.029 | 0.023 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".