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Record W147564081

Histoire de la femme cannibale: du collage á l'autofiction

2007· article· fr· W147564081 on OpenAlexaboutno aff
Mariana Ionescu

Bibliographic record

VenueNouvelles études francophones/Nouvelles etudes francophones · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

HISTOIRE DE LA FEMME CANNIBALE (2OO3), ROMAN NOURRI DES experiences et de l'imaginaire de Maryse Conde, souleve la question de l'identite culturelle de l'ecrivain postcolonial, fatalement nourri d'un certain nombre de valeurs occidentales. La these du fameux Manifeste can nibale (1928) du poete bresilien Oswald de Andrade sera reprise dans le dis cours tenu par cette rebelle impenitente (Gauvin) lors du decernement du prestigieux prix litteraire Metropolis Bleu (Montreal, avril 2003). S'adres sant particulierement aux artistes croques par la culture des puissances colonisatrices et devores par les questions identitaires, elle leur donne le conseil de mordre en retour: Mordre au sens que les Indiens donnent a ce terme: prendre ce qu'il y a de bon et d'important dans l'autre et, ainsi, Lintegrer. Le faire sien. L'ameliorer (Sarfati). Aussi, de l'avis de Conde, l'ecrivain de l'epoque postcoloniale, afin de surmonter les difficultes de sa quete identitaire, doit-il s'enrichir de l'autre, au risque d'etre accuse de cannibalisme culturel. A l'enracinement preconise par quelques-uns de ses confreres antillais, elle prefere le nomadisme a la fois douloureux et enri chissant a travers un monde en voie de metissage, seul capable de liberer la parole creatrice.1

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
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 head0.007
GPT teacher head0.214
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2007
Admission routes1
Has abstractyes

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