One Horse Race? A study of interoperability in Canada's Future Fighter Capability Project
Bibliographic record
Abstract
Through the $19 billion Future Fighter Capability Project, the Government of Canada will procure a replacement for the CF-18. However, the requirement that the future fighter be "seamlessly interoperable" with key allies calls into question whether the competitive selection process can be run in good faith. [National Defence, 2018] This study argues that contemporary Canadian defence policy is oriented around partnerships with other states, especially the US, and that interoperability would therefore best be attained through the selection of a fifth-generation American platform. However, it is unclear that the FFCP evaluation criteria, which include mandatory and rated technical requirements as well as pillars for cost and industrial offsets, account for high-end tactical networking and new allied technical standards. The FFCP may result in the acquisition of a type that prevents the CAF from interoperating "seamlessly" with allies over its lifecycle. This risk undermines Canada's reliance on partnerships for national defence.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".