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Record W4294199684 · doi:10.4000/volume.10005

Entendre le récit dans les sons

2022· article· fr· W4294199684 on OpenAlexaff
Marion Brachet

Bibliographic record

VenueVolume ! · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsUniversité LavalMusée de la Civilisation
Fundersnot available
KeywordsArtPhilosophy

Abstract

fetched live from OpenAlex

Les apports de la narratologie cognitiviste à l’étude des musiques populaires ont récemment permis d’adopter des approches analytiques permettant de rendre compte des processus de narrativisation à l’œuvre lors de l’écoute, c’est-à-dire des modes de réception caractérisés par l’interprétation des éléments sonores et verbaux au travers d’un prisme narratif. Malgré la généralisation de ce cadre théorique, peu d’études de réception ont encore été réalisées pour renseigner ces processus de narrativisation. Cet article se propose de contribuer à leur compréhension grâce aux résultats d’un questionnaire en ligne portant sur la réception narrative des chansons rock et folk, en se concentrant ici sur les strates musicales non vocales des chansons. Les témoignages d’écoute mettent en évidence trois éléments majeurs jouant le rôle d’incitants narratifs pour la population enquêtée : la complexité de la forme, la présence de soli instrumentaux, ainsi qu’une atmosphère jugée immersive. En s’appuyant sur les descriptions de ces caractéristiques par les enquêtés, cet article tente d’affiner l’identification de ces incitants narratifs non vocaux dans un contexte musical défini génériquement.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.818
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0750.001

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 head0.020
GPT teacher head0.206
Teacher spread0.186 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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