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Record W2053367504 · doi:10.1353/cjl.2011.0018

Media representations of minority French: Valorization, identity, and the <i>Acadieman </i>phenomenon

2011· article· en· W2053367504 on OpenAlexaff
Philip Comeau, Ruth King

Bibliographic record

VenueThe Canadian Journal of Linguistics / La revue canadienne de linguistique · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsYork University
Fundersnot available
KeywordsVariety (cybernetics)PhenomenonSociologyIdentity (music)IdeologyLinguisticsAdventureSpace (punctuation)AestheticsArtEpistemologyPolitical sciencePoliticsPhilosophyMathematics

Abstract

fetched live from OpenAlex

This article is concerned with the role of media representations of language use in the promotion of language ideologies and in identity construction. It focuses on media representations of Chiac, a traditionally low-status variety of Acadian French. We consider performances of this variety in the adventures of an animated superhero, Acadieman, presented in a cable TV show running on Rogers TV from 2005 to 2009. We first contextualize Acadieman in terms of the linguistic and cultural contexts in which Chiac is spoken. We then consider how particular social meanings are created through contrasts between Chiac-speaking characters and speakers of other varieties. While the juxtaposition of varieties is at one level quite humorous, on another level it draws on complex indexicalities and valorizes the local variety and, by extension, its speakers. Finally, we argue that the Acadieman phenomenon provides a discursive space within which present-day Acadian identities can be negotiated.

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)0.005
metaresearch head score (Gemma)0.086
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.086
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
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 head0.033
GPT teacher head0.273
Teacher spread0.240 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations5
Published2011
Admission routes1
Has abstractyes

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