The politics of branding Canada: The international-domestic nexus and the rethinking of Canada's place in the world
Bibliographic record
Abstract
La politica exterior canadiense recientemente ha puesto enfasis en la promocion de la identidad y los valores canadienses. Un ejercicio de “Estado modelo” intento transformar la imagen de Canada, internacionalmente, en apoyo de sus intereses economicos y politicos. Sin embargo, la “realidad retorica” entre la articulacion de sus valores y la realidad de sus acciones puede minar las metas indicadas de su politica exterior. El caso canadiense demuestra la necesidad de fomentar nuestra comprension del mencionado estado modelo, particularmente sus dimensiones domesticas y como se relacionan con la tentativa de un estado de transformar su narrativa nacional. El desafio para Canada, si desea proyectar valores canadienses al exterior, es reexaminar el nexo domestico-internacional
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.022 | 0.023 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".