Complex and symbolic discursive encounters for intercultural education in plurilingual times
Bibliographic record
Abstract
The goal of this chapter is to present some new ways of conceptualizing linguistic competence in relation to intercultural education. With the impact of globalization, immigration, new technologies, and the competitiveness of national and international markets, multilingualism represents the practical norm. It has been deemed a tool for local integration and international mobility. In the school context, the question of a plurilingual and pluricultural identity has also become important and research incorporating language biographies has tended to focus on the subjective view of linguistic and cultural learning and on the significance of the interaction of identities (Inter, an indicator of relationship and not of a simple juxtaposition). It is this plurality or notion of plurilingual competence that is of issue and holds significance in this chapter, particularly as regards intercultural education. In drawing upon an interdisciplinary approach, which combines sociolinguistic, psycholinguistic, and educational perspectives, we demonstrate how linguistics has much to offer intercultural education today.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".