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Record W2113274680 · doi:10.7202/1026149ar

Un patrimoine culturel immatériel émergent

2014· article· fr· W2113274680 on OpenAlexaffvenue
Lucie Benoit

Bibliographic record

VenueEthnologies · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article examine sous quelle forme les Cadiens, auXXIe siècle, perpétuent la tradition du Courir du Mardi gras dans une perspective de développement durable de leur patrimoine, à travers l’étude de cas du Courir de Faquetaigue. Après avoir exposé la tradition du Mardi gras chez les Cadiens, nous abordons la mise en contexte du Courir de Faquetaigue, qui s’écarte du caractère touristique et commercial tel qu’observé lors d’autres Mardi gras de la Louisiane. Au moyen d’une observation participante et d’entrevues semi-dirigées avec des participants, nous en analysons les aspects spécifiques : le défi du poteau, qui évoque la tradition des jeux et des travaux communautaires, l’hommage à Dennis McGee, musicien pionnier de la culture louisianaise, et l’idée de communauté telle que définie par les participants. Il ressort de cette analyse que ce n’est pas tant son caractère géographique local qui définit, aux yeux des participants, ce Courir de Faquetaigue, mais plutôt « l’esprit » du lieu, et les gens avec qui ils le réalisent. Ces acteurs montrent qu’ils font évoluer consciemment cette tradition en faisant en sorte qu’elle s’inscrive dans un esprit de continuité.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.021
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.031
GPT teacher head0.253
Teacher spread0.221 · 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

Citations1
Published2014
Admission routes2
Has abstractyes

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