La création de la première structure administrative postsecondaire francophone de la Colombie-Britannique : une étude de cas dans le domaine de la francophonie
Bibliographic record
Abstract
Résumé. Cet article propose une réflexion autour de la création du Bureau des affaires francophones et francophiles de l'Université Simon Fraser, institution dont la mission est de stimuler le rayonnement du français dans un contexte majoritairement anglophone et qui attribue sa réussite aux efforts conjoints des communautés francophone et francophile de la Colombie-Britannique ainsi qu'aux structures gouvernementales provinciales et fédérales. La recherche vise à identifier l'apport de chacun des groupes pour l'aboutissement du projet, en utilisant dans l'explication le modèle de la fenêtre d'opportunité de Kingdon ainsi qu'un corpus constitué de 17 entrevues réalisées avec plusieurs acteurs ayant participé au processus et des documents portant sur la création du programme. Abstract. This article proposes a reflection on the creation of the Bureau des affaires francophones et francophiles from Simon Fraser University. The institution's mission is to foster the influence of French in a predominantly English-Speaking environment. The Bureau attributes its success to the joint efforts of Francophone and Francophile communities from British Columbia and the Provincial and Federal governments. The research aims to identify the contribution of each group to the success of the project. Our article is based on Kingdon's theory of the “window of opportunity” and our findings were as a result of 17 interviews of stakeholders. A comprehensive literature review was also carried out as part of the impaired research.
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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 | 0.011 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".