The paradoxical visions of multilingualism in education: the ideological dimension of discourses on multilingualism in Belgium and Canada
Bibliographic record
Abstract
In this article, we will examine some contrasted discourses on multilingualism that circulate nowadays in the field of education. Focusing on the cases of French-speaking Belgium and of the Franco-Ontarian community in Canada, we will show the existence of two discourses on multilingualism: one that insists on the positive value of multilingualism and that we consider as a consequence of social and economic changes brought by globalisation; and another that is much more a surrender of the purist conception of language rejecting ‘mixing’ and hybridism and that seems to support resistance towards unwanted consequences of this globalisation movements (especially migration movements). In our view, these discourses on multilingualism are ideological discourses aiming at legitimating or contesting the impacts of global capitalism and post-nationalism.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.029 | 0.052 |
| Scholarly communication | 0.022 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".