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Record W2901772348 · doi:10.3917/rbnf.055.0040

Le ronéophone Pathé, au cœur de l’enquête des Ardennes

2017· article· fr· W2901772348 on OpenAlexaff
Pascal Cordereix, Luc Verrier

Bibliographic record

VenueRevue de la BNF · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsGeologyPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

PASCAL CORDEREIX, LUC VERRIER Durant l'enquête menée dans les Ardennes franco-belges en juin-juillet 1912, Ferdinand Brunot et les Archives de la parole utilisent, pour collecter les parlers régionaux, un appareil d'enregistrement peu habituel, un phonographe dérivé du ronéophone Pathé, un choix qui cache des enjeux industriels et scientifiques… La collecte des « patois », dialectes et parlers régionaux occupe une place centrale dans le dispositif des Archives de la parole que Ferdinand Brunot crée le 3 juin 1911 à la Sorbonne, avec l'aide de l'industriel Émile Pathé 1 .À travers un projet d'« exploration dialectale de la France », l'objectif de Brunot est de réaliser un « atlas phonographique » linguistique des parlers de France.Cet atlas connaît un début de 1 Fumay, dans la vallée de la Meuse, vers 1910, carte postale BNF, Estampes et Photographie, Va MAT 08b CP 268 2 Une promenade en Belgique : patois de Fumay, Paris, Archives de la parole, 1912, disque Pathé 90 t, 25 cm (détail) BNF, Audiovisuel, AP 168 Ci-contre Ci-dessus Bibliothèque nationale de France

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)0.006
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 score0.028
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.007
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0210.004

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 head0.019
GPT teacher head0.227
Teacher spread0.208 · 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
Published2017
Admission routes1
Has abstractno

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