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Record W2055775687 · doi:10.1080/17457820801899017

So why do you want to teach French? Representations of multilingualism and language investment through a reflexive critical sociolinguistic ethnography

2008· article· en· W2055775687 on OpenAlex
Julie Byrd Clark

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEthnography & Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReflexivityMultilingualismSociologyEthnographyConstruct (python library)Field (mathematics)PedagogyTranslanguagingCritical ethnographyLinguisticsMulticulturalismGender studiesSocial scienceAnthropology

Abstract

fetched live from OpenAlex

In this paper, I demonstrate how four self-identified multi-generational Italian Canadian youth socially construct their identities and invest in language learning while participating in a French teacher education programme in Toronto, Canada. In doing so, I draw upon critical ethnography and discourse analysis, using multiple field methods to highlight the different conceptions of what being Canadian, multilingual and multicultural means to these youths and the ways in which they position themselves vis-à-vis the acquisition of French as official language. I furthermore illustrate how some of their lived social and linguistic practices problematise social categories and labels. This work acknowledges the creation of social spaces for overlapping identities, which could possibly challenge the status quo, crossing both societal and social borders in Canada and beyond.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.097
GPT teacher head0.504
Teacher spread0.407 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it