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Record W2083833210 · doi:10.1080/15348450701341253

Hybrid Identities in Quebec Hip-Hop: Language, Territory, and Ethnicity in the Mix

2007· article· en· W2083833210 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Language Identity & Education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsLyricsGender studiesImmigrationEthnic groupSociologyYouth culturePoliticsIdeologyLanguage ideologyContext (archaeology)Political scienceHistoryAnthropologyLiterature

Abstract

fetched live from OpenAlex

Montreal is the metropolitan hub of the province of Quebec, a French-speaking island in officially bilingual, but de facto majority English-speaking, Canada. The current youth generation represents a variety of ethnolinguistic backgrounds—French and English Canadian, but also many different immigrant-origin groups, including large Haitian and Hispanophone populations. Young adults and adolescents share French as a common language through schooling. In Quebec, hip-hop, a privileged literary–artistic and political medium for this generation, not only reflects its multilingual, multiethnic base, but also constitutes an active and dynamic site for the development of an oppositional community that encourages the formation of new, hybrid identities for youth. The authors draw on interviews with rappers of Haitian, Dominican, and African origin, and analysis of lyrics by these MCs, to highlight ways in which the discourses of “conscious” Quebec hip-hop promotes particular ideologies and identities in a context of migration/resettlement and globalization of youth culture.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.311
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.358
Teacher spread0.343 · 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