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Record W3203940338 · doi:10.3917/cdlj.2102.0297

Filmer les procès pour l'histoire : la fabrique d'une archive de la justice

2021· article· fr· W3203940338 on OpenAlexaff
Martine Sin Blima-Barru, Christian Delage

Bibliographic record

VenueLes Cahiers de la Justice · 2021
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicLegal Systems and Institutions
Canadian institutionsBibliothèque et Archives nationales du Québec
FundersAgence Nationale de la Recherche
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La loi Badinter du 11 juillet 1985 a permis de créer de façon volontaire 14 archives audiovisuelles de procès promues au rang de documents pour l'Histoire. Dérogatoire à l'interdiction de capter les audiences de la loi sur la liberté de la presse, exception au régime général des archives, cette mise en archives de la Justice sélectionne quelques procès pour l'exemple et pour la mémoire de la Justice. Une archiviste et un historien reviennent sur 35 ans d'une présence rare de la caméra dans le prétoire, afin d'éclairer les modalités de ces captations entre cadre réglementaire, exigence de la pérennisation des archives et besoins présumés de l'historien.

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)0.005
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 score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0120.009
Scholarly communication0.0140.005
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.002

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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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