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Record W2014121312 · doi:10.4000/danse.1005

Des danseuses qui écrivent. Margitta Roséri : le tour du monde de la danse

2015· article· fr· W2014121312 on OpenAlexaff
Claudia Jeschke

Bibliographic record

VenueRecherches en danse · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Le phénomène des danseuses du XIXe siècle qui écrivent sur (leur) danse a été sous‑estimé dans l’historiographie. Margitta Roséri est née en Allemagne et a eu une carrière internationale couronnée de succès en Europe, aux États-Unis et en Amérique Centrale ; dans ses mémoires, elle présente un aperçu de sa profession en relatant non seulement ses réussites et ses échecs artistiques et sociaux, mais en portant aussi un regard critique sur la pratique et la conception de la danse de son temps. Elle a également pénétré dans le champ masculin de l’auctorialité en rédigeant un manuel sur l’art de la danse. Les écrits de Roséri suggèrent une lecture différenciée des agentivités incorporées des danseuses et des exigences liées à leur statut, selon les cultures, et permettent ainsi une relecture des stratégies performatives des femmes artistes dans le ballet à la fin du XIXe siècle.

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)0.002
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.105
GPT teacher head0.293
Teacher spread0.188 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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