Autonomie politique et minorités francophones du Canada: réflexions sur un angle mort de la typologie classique de Will Kymlicka (Political Autonomy and Canadian Francophone Minorities: Reflexions on 'Kymlicka's Blind Spot')
Bibliographic record
Abstract
French Abstract: La typologie dominante relative aux minorites – qui distingue « minorites nationales », « peuples autochtones » et « minorites ethniques » issues de l’immigration – ne permet pas de saisir la specificite et la complexite des situations des communautes francophones en milieu minoritaire (CFMM) du Canada. L’auteure propose trois pistes de reflexions visant a rendre plus visible le sort des CFMM dans la classification du droit des minorites : remplacer les categories rigides par un « continuum », introduire de tels « continuum » au sein de chacune des categories, et, enfin, l’ajout d’une categorie a ce que l’on pourrait qualifier de « triptyque de Kymlicka ». Mieux situer les CFMM dans les schemas conceptuels relatifs a l’amenagement de la diversite necessite notamment une clarification des aspirations autonomistes des CFMM, et plus particulierement de leur positionnement par rapport a l’autonomie politique (dans le sens « d’etatique » ou de « gouvernementale »).English Abstract: The dominant classification of minorities—which distinguishes between “national minorities”, “aboriginal peoples” and “ethnic minorities”—does not capture the specificity and complexity of the French-speaking communities who do not enjoy territorial autonomy in Canada (basically French-speakers outside Quebec). The author suggests three tentative answers to what could be called “Kymlicka’s blind spot”. These include replacing rigid categories by a continuum, introducing some form of continuum in the current categories or adding a category to the existing typology. Any exploration of alternative conceptual schemes requires notably a clarification of the claims of autonomy made—or which could be made—by these linguistic minorities, including claims of territorial or non-territorial political autonomy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.019 | 0.019 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".