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Record W2102170348 · doi:10.7202/019560ar

« Ousqu’on chill à soir? » Pratiques multilingues comme stratégies identitaires dans la communauté hip-hop montréalaise

2008· article· fr· W2102170348 on OpenAlex

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueDiversité urbaine · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsMcGill University
FundersMcGill University
KeywordsHumanitiesArtSociology

Abstract

fetched live from OpenAlex

Dans ce bref portrait sociolinguistique de la culture hip-hop de Montréal, Mela Sarkar et son équipe de recherche de l’Université McGill confrontent les défenseurs de la « Québéquicité », c’est-à-dire être blanc et parler français avec l’accent approprié, aux pratiques multilingues qui caractérisent la communauté hip-hop montréalaise. En effet, les jeunes de la génération hip-hop au Québec inventent un nouveau langage hybride et mixte, né de l’amalgame des langues et cultures d’origines diverses que l’immigration et les politiques linguistiques ont introduites dans les écoles québécoises de langue française en milieu urbain. Les pratiques multilingues qu’ont créées les jeunes rappeurs québécois scolarisés en français en milieu multiethnique montréalais agissent comme des stratégies d’affirmation identitaire pour toute une génération.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.281
Teacher spread0.242 · 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