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Record W2599995781 · doi:10.4000/volume.2651

Bitch et Beurette, quand féminité rime avec liberté

2011· article· fr· W2599995781 on OpenAlexaff
Karima Ramdani

Bibliographic record

VenueVolume ! · 2011
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsFédération des Maisons D'Hébergement pour Femmes
Fundersnot available
KeywordsHumanitiesArtAppropriationPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Il s’agira dans cet article d’analyser la représentation du corps féminin noir, notamment dans la musique rap. Il sera particulièrement question des rappeuses et de l’exposition du corps des femmes (celles que l’on appelle les « video girls ») dans les vidéoclips de rap aussi bien aux États-Unis qu’en France, en soulignant toutefois les similitudes et les différences. Dans le contexte socio-historique du rap français vient en effet s’ajouter — à côté de la représentation du corps noir — une autre figure : celle de la « Maghrébine » particulièrement apparente dans un autre type de musique qui a connu la même expérience de réappropriation de la culture musicale africaine-américaine par une jeunesse postcoloniale en France, à savoir le R&B. Comment ces deux figures révèlent deux dimensions hétéro-normatives et antagonistes de la féminité ? Comment à travers ce dispositif (des techniques qui s’articulent ensemble et jouent ensemble) sont exprimées des normes de genre racisées qui participent de la construction identitaire de tous les groupes ?

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)0.004
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 score0.026
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.013
Scholarly communication0.0090.009
Open science0.0010.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0220.003

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 head0.073
GPT teacher head0.235
Teacher spread0.162 · 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

Citations7
Published2011
Admission routes1
Has abstractyes

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