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Record W2768866929

Mettre en scène le Canada-français : Les costumes traditionnels dans les ensembles de danse folklorique au Québec

2017· dissertation· fr· W2768866929 on OpenAlexaboutno aff
Raphaël Trottier

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2017
Typedissertation
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtEthnologyHistory
DOInot available

Abstract

fetched live from OpenAlex

Ce mémoire porte son attention sur l’utilisation des costumes traditionnels dans les ensembles de danse folklorique canadienne-française au Québec. À partir de la théorie de l’invention des traditions de l’historien Eric Hobsbawn, il est ici argumenté qu’en plus de celles préexistantes concernant le costume, les ensembles de danse sont responsables de la création d’autres traditions. Afin de démontrer cette hypothèse, le texte est organisé de manière chronologique pour en voir la sédimentation au fil du temps. En un premier temps, les contextes historiques du nationalisme occidental puis québécois sont présentés alors que la naissance des ensembles de danse folklorique au Québec, au milieu du vingtième siècle, est développée par la suite. Dans un second temps, il est question de la promotion du régionalisme au Québec qui a mené à la recherche sur les costumes traditionnels par l’ethnographe Madeleine Doyon dans les années 1940. C’est l’influence de ces recherches sur les ensembles de danse folklorique qui forme le reste de cette section sur le costume régional. En un troisième temps, la discussion se tourne vers l’usage des costumes historiques dans ces ensembles. Il est alors question des costumes inspirés des peuples fondateurs du Québec, des costumes de ville de la Belle Époque, puis des costumes ouvriers urbains du 2e quart du vingtième siècle.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.408

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 studies0.0120.005
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.237
Teacher spread0.210 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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