Does Soft Power Look Different in Multinational Federations? International Education and Soft Power Politics in Canada/Quebec
Bibliographic record
Abstract
Abstract While the study of soft power has gained significant scholarly attention, an understanding of soft power politics in diverse state models, and multinational federations specifically, is lacking. This study remedies this gap by exploring the connection between soft power and multinational federalism in the Canadian context, highlighting the tensions between the Canadian federal “majority” nation and Quebec's “minority” nation. Relying on the international education policy sphere and its soft power potential, the study extends the discussion of soft power beyond the typical unitary nation-state lens, elucidating the interaction of multiple (and contrasting) soft power rationales within one country. The study reveals that soft power politics can be exerted as much domestically as externally and can be pursued in a discorded fashion within a nation-state. Clearly, there is a need for a more nuanced understanding of soft power, which considers its contested manifestation, and the context-specific ways it is utilized.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".