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Record W4310738201 · doi:10.26522/vp.v19i2.4119

De la zombification à la résistance de la femme insulaire anthropophage dans La mulâtresse Solitude d’André Schwarz-Bart

2022· article· fr· W4310738201 on OpenAlexvenueno aff
Clarissa Charles-Charlery

Bibliographic record

VenueVoix Plurielles · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse Cultural and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtSolitudeHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cette étude vise à comprendre l’incarnation de la femme anthropophage qui renverse plusieurs systèmes de domination à travers le parcours de Solitude, héroïne emblématique de l’œuvre d’André Schwarz-Bart. La mulâtresse Solitude retrace l’histoire réelle de cette mulâtresse esclave qui décide de fuir l’univers mortifère de l’Habitation pour entreprendre une quête identitaire, semée de luttes contre esclavagistes, au côté de nègres marrons. André Schwarz-Bart procède à un réinvestissement de l’histoire pour se focaliser sur la contribution des femmes au sein de la résistance. Cette vision de Schwarz-Bart est issue d’une observation du réel et de l’histoire faisant de l’héroïne un exemple de femme tridimensionnel où se retrouvent la femme, la métisse et la maronne. Mais c’est aussi Solitude dont le métissage et le caractère insulaire semblent faire d’elle un modèle-type de l’être multiple, libre et donc symboliquement anthropophage car son métissage est envisagé comme ligne de fuite et déconstruction de hiérarchies.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.017
GPT teacher head0.278
Teacher spread0.262 · 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 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
Published2022
Admission routes1
Has abstractyes

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