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Record W3180666626 · doi:10.4000/eccs.4714

L’analyse de l’énonciation et de l’hétérolinguisme dans Hadassa de Myriam Beaudoin

2021· article· fr· W3180666626 on OpenAlexaff
Agata Helena Trociuk

Bibliographic record

VenueÉtudes canadiennes / Canadian Studies · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPhilosophyArtPolitical science

Abstract

fetched live from OpenAlex

Nous examinons la présence des langues et des variétés de langue dans Hadassa de Myriam Beaudoin (2006). Le roman illustre la circulation du français, de l’anglais, du franglais, du yiddish et de l’hébreu dans la municipalité d’Outremont et le quartier du Mile End. Le plus important objectif de l’article est l’étude du lien entre l’hétérolinguisme et la pratique langagière des protagonistes. Nous procédons par induction, parce que nous déchiffrons la conception du monde des écolières hassidiques à partir de leur pratique langagière. Nous déterminons les facteurs qui motiveraient le changement de langue ou de variété de langue dans des situations d’énonciation spécifiques.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.337
Teacher spread0.297 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

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