Plurilingualism amid the panoply of lingualisms: addressing critiques and misconceptions in education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Today, scholars and students face an array of lingualisms: bilingualism, multilingualism, polylingualism, metrolingualism plurilingualism, codeswitching, codemeshing, and translanguaging, among others. Plurilingualism can be understood as the study of individuals’ repertoires and agency in several languages, in different contexts, in which the individual is the locus and actor of contact; accordingly, a person’s languages and cultures interrelate and change over time, depending on individual biographies, social trajectories, and life paths. The term ‘plurilingual competence’ adds emphasis on learners’ agency, and constraints and opportunities in educational contexts. We discuss where and how plurilingualism fits among the other lingualisms, its similarities and differences, with an example of plurilingual pedagogy and practice from a university in Vancouver, Canada. In doing so, we challenge three common critiques of/misconceptions about plurilingualism: (i) that it is based on an invalid static binary between the social and the individual, (ii) that it is over-agentive, and (iii) that it can serve to reinforce social inequities within a neoliberal world order.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it