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Record W4377595740

ENTREVISTA COM ANDREW HARWOOD E RAY CHUNG

2013· article· pt· W4377595740 on OpenAlexaboutno aff
Suzi Weber

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2013
Typearticle
Languagept
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsArtHistory
DOInot available

Abstract

fetched live from OpenAlex

Entrevista realizada em Montréal em 2006, com os bailarinos, improvisadores e performers norte-americanos Andrew de Lotbinière Harwood e Ray Chung por ocasião da performance Hark. Em Hark, a improvisação em dança é crucial e o contato improvisação é um dos principais ingredientes. Nesta entrevista, feita antes da performance, eles falam de sua formação, prática, abordagem pedagógica e compreensão da arte, da dança e da performance. A influência do Contato Improvisação amalgamada com a educação somática demonstra a forte aliança da prática em dança destes artistas que tem permitido sua longevidade em cena. Além disso, essa aliança tem promovido uma minimização de gestuais hierarquizados e virtuosos de dança ligados à superação física do corpo, oferecendo corpos mais relaxados, performáticos e até vulneráveis. Para estes artistas, a percepção e atenção do público estão em evidência no momento da criação.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0050.007
Open science0.0070.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.2900.004

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 head0.258
GPT teacher head0.544
Teacher spread0.286 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2013
Admission routes1
Has abstractyes

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