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Record W3092300247 · doi:10.4000/ccs.2418

Le paysage comme outil herméneutique dans Triptyque de Claude Simon et The English patient de Michael Ondaatje

2019· article· fr· W3092300247 on OpenAlexaff
Megan Wightman

Bibliographic record

VenueCahiers Claude Simon · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsCanadian Patient Safety Institute
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Dans Triptyque (Claude Simon) et The English Patient (Michael Ondaatje) le paysage ne fonctionne pas uniquement comme le fond contre lequel se joue l’action diégétique. Les paysages géographiques et urbains qui y sont représentés mettent en place des stimuli visuels, et participent ainsi à l’enchevêtrement des différents fils diégétiques de chaque roman. Cette étude comparatiste s’appuie sur le sens du mot paysage dans la géographie ainsi que son acception dans le domaine des beaux-arts afin de penser l’agencement des traits formels et stylistiques des romans étudiés. Notre analyse se présente comme une exploration de ce que nous appelons le paysage romanesque du texte, qui correspond aux traits formels, et du paysage rhétorique, qui correspond aux traits stylistiques.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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 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
Published2019
Admission routes1
Has abstractyes

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