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Record W3023915426 · doi:10.4000/afas.3950

Les enregistrements sonores du musée national des Arts et Traditions populaires aux Archives nationales

2020· article· fr· W3023915426 on OpenAlexaff
Martine Sin Blima-Barru

Bibliographic record

VenueBulletin de l’AFAS · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsBibliothèque et Archives nationales du QuébecLibrary and Archives Canada
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Dès la constitution de la phonothèque au musée national des Arts et Traditions populaires, la question du statut juridique des enregistrements de terrain liés à la tradition orale collective se pose. Cet article évoque la manière dont cette question a été appréhendée par les chercheurs à l’époque, notamment Claudie Marcel-Dubois et Maguy Andral, collectrices majeures en même temps que responsables du service, et les incidences que cela a eues, jadis, en termes de diffusion, particulièrement restreinte par le passé en raison d’une vision particulière pour ne pas dire personnelle des responsables. La question se pose en des termes différents dès lors que ces enregistrements sont aujourd’hui conservés aux Archives nationales, institution patrimoniale ayant pour mission de les mettre à disposition du public et cela d’autant que ces archives sont à la base de projets de valorisation via internet qui obligent à s’interroger sur la législation actuelle en termes de droit d’auteur et de droits voisins.

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)0.008
metaresearch head score (Gemma)0.017
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 score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0120.009
Scholarly communication0.0080.005
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.167
GPT teacher head0.288
Teacher spread0.122 · 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
Published2020
Admission routes1
Has abstractyes

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Same venueBulletin de l’AFASSame topicCultural Identity and HeritageFrench-language works237,207