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Record W7029719466

La historia carnavalesca del 68 en Palinuro de México de Fernando del Paso

2010· other· fr· W7029719466 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2010
Typeother
Languagefr
FieldSocial Sciences
TopicInsurance, Mortality, Demography, Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)SubversionSugar industryContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Résumé\nCe travail cherche à révéler les stratégies utilisées dans Palinuro de México (1977) de Fernando del Paso pour représenter l’histoire du mouvement étudiant de 1968, qui se termina par le massacre de Tlatelolco. Afin de protéger son image, le gouvernement censura cet événement, qui compte parmi les plus marquants de l’histoire contemporaine du Mexique.\nNous situons Palinuro de México dans un corpus littéraire qui résiste au silence imposé par les autorités avec la création d’une poétique capable de raconter l’histoire et de dénoncer la censure. Notre hypothèse s’appuie sur les réflexions de Paul Veyne et Jacques Rancière, qui démontrent que l’écriture de l’histoire ne possède pas de méthode scientifique, mais procède plutôt d’une construction littéraire. Cela nous permet d’affirmer que l’histoire, puisqu’elle relève de la littérature, peut aussi être racontée dans un roman. \nLa théorie de la littérature carnavalesque de Mijail Bajtin, qui se caractérise par le rire, la liberté d’expression et l’opposition aux règles officielles, nous sert à identifier les procédés utilisés dans Palinuro de México pour créer une mémoire de Tlatelolco. Ce style rappelle la vitalité du mouvement étudiant, en soulignant la joyeuse subversion des valeurs. De plus, son caractère polyphonique permet d’inclure une pièce de théâtre dans un roman et de confronter les différentes idéologies qui s’opposaient durant le conflit.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.172
Threshold uncertainty score0.342

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.003
GPT teacher head0.167
Teacher spread0.164 · 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
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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