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Record W2945825947 · doi:10.4000/eccs.1551

La reprise de la chanson « God is an American » de Jean-Pierre Ferland par Konflit dramatik : la transformation d’une critique sociale en une déclaration politique

2018· article· fr· W2945825947 on OpenAlexaff
R. Marcel Prévost

Bibliographic record

VenueÉtudes canadiennes / Canadian Studies · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

De nos jours, il est très commun d’utiliser le matériel d’une chanson enregistrée dans un nouveau contexte afin de la transformer. Cet article examine certaines des stratégies utilisées par Konflit dramatik (2008) dans la reprise de la chanson « God is an American » de Jean-Pierre Ferland (1970, révisée 2005) : les modifications aux paroles, les changements de tempo et le maniérisme vocal. La reprise change la version originale, qui critiquait l’impérialisme américain et le rôle de la religion dans la société, en une déclaration politique sur l’attaque américaine en Irak en 2003 et le rôle identitaire d'artistes franco-ontariens.

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)0.003
metaresearch head score (Gemma)0.005
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: none
Teacher disagreement score0.905
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.019
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.268
Teacher spread0.253 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueÉtudes canadiennes / Canadian Studies→Same topicCaribbean and African Literature and Culture→French-language works237,207→