The third eye: Canada’s development of autonomous signals intelligence to contribute to Five Eyes intelligence sharing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Canada established independent signals intelligence in 1946, after years of British and American guidance. The dominant driver was inclusion in postwar intelligence sharing. Wartime intelligence negotiations depict Canadians framing themselves relative to their allies, seeking to shake off a ‘younger brother’ mindset and to migrate from British-led models towards autonomous intelligence sharing with the Americans. This paper traces the origins of autonomous Canadian signals intelligence in the context of postwar intelligence sharing with the United States and United Kingdom, demonstrating Canada’s prioritization of capabilities that would ensure inclusion in the intelligence-sharing partnership known today as Five Eyes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it