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Record W7030063980

Madeleine à La Revue moderne : une approche sociopoétique (1919-1923)

2014· other· fr· W7030063980 on OpenAlexaboutno aff

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2014
Typeother
Languagefr
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsPanacheWorkaroundIndependent state
DOInot available

Abstract

fetched live from OpenAlex

Dans ce mémoire, nous examinons l’effet de polyphonie mis en place par Madeleine (de son vrai nom Anne-Marie Gleason-Huguenin) dans les quarante-sept premiers numéros (novembre 1919 - septembre 1923) de La Revue moderne. L’usage de multiples pseudonymes permet à Madeleine de préserver la posture d’écrivaine qu’elle s’est construite dans le champ des lettres canadiennes-françaises. En effet, cette pratique est une forme de protection et de garantie pour la liberté d’écriture, laissant ses autres noms de plume tenir des propos plus provocants que ce qu’elle se permet sous sa signature principale. Après un premier chapitre faisant le point sur la carrière de Madeleine, nous analysons dans un deuxième chapitre cette stratégie polyphonique qui se constitue autour du rôle de la directrice de La Revue moderne, notamment pour l’agencement des rubriques : grâce à une multiplication des identités, Madeleine peut occuper divers lieux de sa revue. Enfin, le dernier chapitre étudie la manière dont ces différentes identités journalistiques se constituent au travers d’une certaine solidarité, par échos et reprises.

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)0.004
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 score0.031
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.011
Scholarly communication0.0080.007
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.010
GPT teacher head0.167
Teacher spread0.158 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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