Bibliographic record
Abstract
A number of prominent Brexit supporters have endorsed the idea of CANZUK, a union (or alliance or pact) of Canada, Australia, New Zealand, and the United Kingdom. They claim that since these countries already have so much in common and because they are already bound together by a dense web of security commitments, it is viable to create a globe-spanning zone of free movement of goods, services, and labour. Some argue that these initial steps should be followed by deeper integration, even the creation of a transcontinental (con)federal polity. In this paper we analyse CANZUK as an attempt to develop a fruitful post-Brexit imaginary and as a case of contemporary transnational elite advocacy. We show that the argumentative moves, institutional prescriptions, and rhetorical strategies, of CANZUK advocacy echo those of late Victorian and Edwardian imperial enthusiasts to a remarkable degree. We suggest that CANZUK cannot escape its historical origins: the empire continues to exert a powerful magnetic pull.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.069 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".