MétaCan
Menu
Back to cohort
Record W2594095874 · doi:10.7202/1038985ar

À l’assaut de Montréal : les chanteurs country-western dans les studios de la métropole, 1942-1958

2017· article· fr· W2594095874 on OpenAlexaffvenueabout
Catherine Lefrançois

Bibliographic record

VenueMens Revue d histoire intellectuelle et culturelle · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArtWestern europeStudioVisual artsEuropean union

Abstract

fetched live from OpenAlex

L’imaginaire campagnard associé à la chanson country-western masque une réalité méconnue. Entre 1942, année du premier enregistrement sur disque de Roland Lebrun, et 1958, année de la fondation de la première maison de disques indépendante spécialisée dans la production d’enregistrements country-western, le genre se structure en partie autour de pratiques artistiques et de réseaux urbains. Cet article propose une histoire culturelle de la chanson country-western par l’intermédiaire, notamment, de ses pratiques médiatiques. Au premier plan de cette analyse se trouve la radio, qui, en faisant une place inédite aux amateurs, permet aux premiers chanteurs country-western non seulement de se faire connaître et de se professionnaliser, mais aussi de développer une relation de grande proximité avec le public. Un bref portrait du rôle du studio d’enregistrement et des maisons de disques, qui offrent un revenu stable à ces artistes, révèle un genre largement apprécié. D’un studio à l’autre, Montréal, aux côtés de villes industrielles importantes (Drummondville et Trois-Rivières, par exemple), joue un rôle prédominant.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.005
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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 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
Published2017
Admission routes3
Has abstractyes

Explore more

Same venueMens Revue d histoire intellectuelle et culturelleSame topicCanadian Identity and HistoryFrench-language works237,207