Of Canaries and Ropes: Theoretical and Policy Dilemmas Stemming from Canada’s Huawei 5G Networks Saga
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
In late May 2022 Canada joined its four other partners in the intelligence-sharing community dubbed the "Five Eyes", and banned the Chinese telecommunications firm Huawei from participation in its 5G network. This article explains what has been at stake for Canada and other countries in this saga, doing so in a way that emphasizes the tightly intermeshed nature of internal and international security. The metaphors in the article’s title draw our attention to the manner in which Canadian security policy interests have been increasingly affected negatively as a result of high-tech interdependence with China. This paper explores the reasons for, and implications of this surprising denouement of an "engagement" strategy that at one time possessed a great deal of allure in Ottawa, but is now regarded with increasing skepticism.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it