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Record W2042220462 · doi:10.1017/s0261143005000723

Snobs and <b><i>quétaines</i></b>: prestige and boundaries in popular music in Quebec

2006· article· en· W2042220462 on OpenAlexaboutno aff
Michèle Dupré Ollivier

Bibliographic record

VenuePopular Music · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPrestigeHonorificPopular musicNationalismSociologyThe SymbolicOpposition (politics)Media studiesGender studiesAestheticsArtLiteraturePoliticsPolitical scienceLinguisticsPsychologyLaw

Abstract

fetched live from OpenAlex

This paper is a study of prestige and boundaries in Quebec French-language popular music. Based on interviews with artists, producers and critics conducted in the early 1990s, I argue that popular music in Quebec at that time remained divided along a symbolic boundary established in the 1960s between a highly prestigious group of songwriters/rock artists, who wrote and sang their own material, and a less prestigious group of interpreters/artistes populaires, who sang light pop songs or songs written by others. As predicted by Bourdieu, I show that artists in the most prestigious category were associated with privileged social groups and gained material and symbolic advantages from their prestige. They are more likely to receive honorific awards, to be invited to perform at special cultural events, to see their work recognised as ‘important’, and to persist over time. In opposition to Bourdieu, however, I argue that in the context of emerging nationalism, their songs were also perceived as providing collective benefits over and beyond class and gender divisions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.051
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0180.007
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations48
Published2006
Admission routes1
Has abstractyes

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