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Record W4403271841 · doi:10.4000/12dw7

Écouter la justice. Contribution à une histoire sonore des espaces et des acteurs des procédures judiciaires

2024· article· fr· W4403271841 on OpenAlexaff
Jean-Sébastien Noël, Sylvie Thénault

Bibliographic record

VenueCriminocorpus revue hypermédia · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsSociologyHumanitiesArt

Abstract

fetched live from OpenAlex

En 2013, Sophie Victorien et Joann Élart dirigeaient pour la revue Criminocorpus un dossier consacré au rapport entre musique et justice. Le présent dossier, s’il s’attache lui-aussi aux sons et aux voix, ne traitera que très peu de musique pour appréhender les enjeux acoustiques de l’espace judiciaire. Il trouve son origine dans une expérience fortuite, si ce n’est anecdotique : il a fallu qu’un jour de juin 2021, un spécialiste d’histoire culturelle de la musique assiste à un procès et en ...

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)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.025
Scholarly communication0.0110.008
Open science0.0010.004
Research integrity0.0050.006
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 head0.060
GPT teacher head0.325
Teacher spread0.265 · 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
Published2024
Admission routes1
Has abstractyes

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