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Record W7036311670

âBut your face, it looks like youâre English:â LangCrit and the experiences of multilingual Japanese-Canadian children in Montréal

2014· other· en· W7036311670 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2014
Typeother
Languageen
FieldComputer Science
TopicBayesian Modeling and Causal Inference
Canadian institutionsnot available
Fundersnot available
KeywordsMultilingualismPerspective (graphical)ImmigrationRace (biology)Identity (music)Face (sociological concept)Qualitative researchFirst language
DOInot available

Abstract

fetched live from OpenAlex

This inquiry explores how young multilingual, racialized children in Montreal, Quebecnavigate and understand their multilinguality and multi-ethnicity. While the visagelinguistique (linguistic face) of Montreal is now securely French in terms of language usein public space and public signage, as per the intentions of Bill 101, with increasingimmigration from non-European (non-White) countries since the 1980s, the face of thecarriers of the French language has become less and less White. Quebec’s officialmonolingual French language policy (Bill 101), however, neatly divides people into threelinguistic categories: Francophone, Anglophone, and Allophone (speakers of languagesother than French or English). These categories mask considerable linguistic diversity,especially in Montreal, the city that receives almost 95% of immigrants to Quebec. Theyalso disavow the visible, or racialized aspects of identity. Nevertheless, it appears thatidentity for multilingual youth in Montreal is shaped by the intersections of the subjectas-heard and the subject-as-seen (Sarkar, Low, & Winer, 2007). As a result, the study ofmultilingualism and multilingual identities in Montreal needs to be informed by atheoretical perspective that can account for the intersections of audible and visibleidentities. Taking a social approach to multilingualism and drawing on language policyand critical race theory scholarship, I developed one such theoretical lens, which I havecoined LangCrit (Critical Language and Race Theory).I engaged in a qualitative and exploratory case study inquiry with fourmultilingual Japanese-Canadian children, ages four to six, in their homes in Montreal.The guiding principal of my methodology was a commitment to engaging in researchwith young children, rather than about them. Two interrelated streams of findingsemerged from data I generated with the children during home visits, one related tomethodology, the other related to theoretical understandings of multilingualism. Withrespect to the first, I found four guiding criteria for doing research with young children:1) fostering respectful relationships; 2) being playful; 3) using creative methods; and 4)carving out spaces to engage alone with the children. These created the contexts forconversations with the children about their understandings of their language practices.With respect to the latter, three common themes emerged: 1) strong multilingual andmultiethnic identities; 2) fixed and fluid perceptions of language and languaging; and 3)intersections of audible and visible identity. In short, the children demonstrated a keensense of what languages are appropriate to use with whom and where. These ideas seemto be shaped by their impressions of not only what language one speaks (subject-as-heard),but also how they look (subject-as-seen). The children use this knowledge tolanguage flexibly as they follow or resist social expectations for language use. The thesiscloses with a discussion of methodological, theoretical, and pedagogical implications ofthe inquiry.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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