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Record W7041096486

Dualité / Dualité

2015· book· en· W7041096486 on OpenAlexaboutno aff

Bibliographic record

VenueE-Artexte (Artexte) · 2015
Typebook
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsMirroringChoreographyAction (physics)Repetition (rhetorical device)Ephemeral keyGestureDanceMovement (music)PortraitImprovisation
DOInot available

Abstract

fetched live from OpenAlex

"Dualité / Dualité (2015) is a series of new collage-based works by Leisure (Meredith Carruthers and Susannah Wesley), produced as the result of a 2014 research residency at Artexte. These works form a new mise-en-scène for the investigation of Françoise Sullivan’s choreography Dualité. First performed with Jeanne Renaud in 1948 and re-performed many times since, notably at the Musée d’art contemporain de Montréal in 1988, Dualité is an intimate portrait of two natures intertwined in one being. Unfolding in a series of parallel gestures for two dancers, the action of Dualité is expressed in a space activated between them. Dualité / Dualité revisits multiple performances of the original choreography to understand how movements are translated over time and how ephemeral events are experienced and re-interpreted through documentation. The resulting images forge new links between these performances, highlighting the formal and psychological implications of the mirroring and layering, doubling and repetition found within the original performances and the artists’ re-interpretation." -- Publisher's website.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0360.009

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 head0.048
GPT teacher head0.314
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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