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Record W2924706084 · doi:10.7202/1057994ar

Poétique du carnet dans Cahier d’un retour au pays natal d’Aimé Césaire

2019· article· fr· W2924706084 on OpenAlexvenueno aff
Olga Hél-Bongo

Bibliographic record

VenueÉtudes littéraires · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Partant des circonstances rédactionnelles deCahier d’un retour au pays natal, nous voudrions montrer dans cet article comment Aimé Césaire passe par tous les modes du carnet : carnet de notes ou de brouillon, cahier d’écriture et de doléances, carnet de voyage et de route. Si l’oeuvre est si achevée, c’est sans doute parce que le poète met en place un dispositif d’éléments antinomiques qui font dialoguer les principaux actants de l’histoire antillaise depuis la conquête, la traite, l’esclavage et la colonisation jusqu’aux temps modernes. Le « je » poétique a ceci de particulier qu’il entre, sort et pivote autour d’une dizaine d’instances de parole qui composent son moi, démultiplié en figures et discours relatant l’histoire de la civilisation antillaise. La visée serait de défaire la doxa et les stéréotypes convenus sur des êtres et des choses pour mettre en place un nouvel ordre du discours, plus proche de la vérité du poète-essayiste. Une véritable dialectique de la conscience se joue donc, dansCahier d’un retour au pays natal, prise avec délectation dans ses propres mouvements et contradictions.

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)0.001
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 score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0090.011
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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
Published2019
Admission routes1
Has abstractyes

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