Bibliographic record
Abstract
Abstract With the emergence of the notion of Standard Quebec French, debates about linguistic usage in Quebec are today largely shaped by two competing normative models: an exonorm defined for all intents and purposes in France and an endonorm reflecting socially acceptable usage as determined by Quebecers themselves. While language attitude research has provided some indication of the normative preferences of ordinary Quebecers, the picture remains largely ambiguous. This article seeks to provide some clarity through a reconceptualisation of language attitudes intended to specifically elicit value judgments on norm setting and enforcement. Building on research in political philosophy and theory, it further develops the notion of ‘pluricentric linguistic justice’, proposed as a tool for assessing questions of authority and legitimacy concerning French in Quebec. It then presents the results of an empirical exploration of this notion focused on the attitudes of a sample of francophone Quebecers towards endonormativity, including as a function of key social variables. The study represents an innovative attempt to develop and test a methodological instrument for interrogating questions of linguistic justice in pluricentric settings more broadly.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".