Plurilingual and pluricultural as the new normal: an examination of language use and identity in the multilingual city of Montreal
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
As plurilingual/multilingual research advances, factors that contribute to or hinder individual’s flexible language use are still underexplored. Questions such as Why do some people identify as plurilingual and pluricultural while others do not? and What factors contribute to high levels of plurilingual and pluricultural competence (PPC)? remain unknown. This article presents results of a mixed methods study with 250 plurilingual participants in the multilingual city of Montreal, Canada. Data was collected through a demographic questionnaire, the Plurilingual and Pluricultural Identity Questionnaire (PPIQ) and the Plurilingual and Pluricultural Competence (PPC) scale. Results show that a vast majority of participants identified as plurilingual and pluricultural, and seven reasons for shaping this identity were found: rich repertoire, lived experiences, awareness of differences and similarities, transculturalism, adaptation and integration, translanguaging, and openness. Moreover, there was a significant difference in PPC scores between Canadian-born participants and participants born outside of Canada, suggesting that speakers of minority languages in Canada have lower PPC scores compared to speakers of Canada’s official languages. These results are significant as they enhance our understanding of language use and identity, suggesting that plurilingualism and pluriculturalism can be the new norm in multilingual contexts but minority languages need further recognition.
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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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