Supporting language rights: plurilingual pedagogies as an impetus for linguistic and cultural inclusion
Bibliographic record
Abstract
This paper explores how the concept of plurilingualism is positioned to act as an impetus for linguistic and cultural inclusion in human-rights-based language education. Drawing on frameworks foregrounding descriptors for plurilingualism and democratic citizenship, the paper employs discourse analysis and sorting techniques to identify and align strategies of linguistic and cultural inclusion found in multimodal plurilingual task artefacts collected from a multi-year, multi-site research partnership between a Canadian university and the Italian Ministry of Education. The findings reveal that the implementation of plurilingual tasks aligns with key elements of democratic, rights-based language education, including critical understanding of communication, openness to cultural otherness, cooperation skills, and the valuing of cultural diversity. The findings of this paper contribute to further understanding of the concept of plurilingualism and to empirically informed perspectives on pedagogies that support language rights as human rights in education.
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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 | 0.021 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".