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Record W2038571447 · doi:10.1353/his.2010.0000

La femme, au cœur d'une société pluriculturelle : la belle Réunionnaise ou la construction d'une identité insulaire depuis le XVIII e siècle

2010· article· fr· W2038571447 on OpenAlexvenueno aff
Sérena Hajek, Jean-Michel Delaplace

Bibliographic record

VenueHistoire sociale · 2010
Typearticle
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

La beauté, à travers la matière charnelle, représente une véritable incarnation des croyances collectives d'un temps, d'un lieu, changeant de forme en même temps que ce dernier, impliquant un regard ouvert sur le contexte sociétal, culturel, historique dans lequel elle s'inscrit. Afin de mieux comprendre qui est la femme réunionnaise, quel rôle social et politique elle tient dans cette société îlienne, nous nous sommes intéressés aux représentations de la belle créole à travers la littérature et l'art plastique de ces trois derniers siècles. Pour autant, les productions artistiques sont-elles significatives d'un contexte sociétal? Comment peut-on interpréter les regards portés sur la beauté créole? Ce questionnement autour des variations des expressions de la beauté créole révèle la construction progressive d'une identité insulaire de la femme créole : une femme plurielle, métisse et libre indissociable de son île natale. Autour de l'histoire de la beauté créole c'est une histoire de la société créole qui se distingue, mettant en évidence l'importance de l'héritage colonial et esclavagiste tout autant que les mutations rapides actuelles liées à la mondialisation, mais aussi et surtout un mouvement d'émancipation irréversible des femmes réunionnaises.

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: none
Teacher disagreement score0.038
Threshold uncertainty score0.077

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 studies0.0080.010
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.207
Teacher spread0.200 · 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
Published2010
Admission routes1
Has abstractyes

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