Tracking Quantum S&T from strategy to implementation plan: what we learned about the Canadian Armed Forces’ quantum posture
Bibliographic record
Abstract
The Department of National Defence has been an important actor in the shaping of Canada’s strategic approach to quantum science and technology through the release of two key documents: the Quantum S&T [Science and Technology] Strategy and the Quantum 2030 implementation plan. This article examines how the DND/CAF quantum strategies have been implemented over recent years and identifies how the approach to quantum science and technology has become more threat-focused. Through a mixed-method discourse analysis of these strategic documents, we argue that there is a transition of the Canadian stance from viewing quantum science and technology as a neutral space with opportunities and threats, to a more dangerous domain. We conclude that there is a significant intensification of threat language, discuss potential explanatory factors, and sketch out further research areas.
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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 | 0.038 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.028 | 0.034 |
| Scholarly communication | 0.026 | 0.013 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".