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Record W6991742000

Improvising Places : Improvising Time

2021· book· en· W6991742000 on OpenAlexaboutno aff

Bibliographic record

VenueE-Artexte (Artexte) · 2021
Typebook
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsImprovisationPerforming artsNarrativeDanceMusicalEphemeral keyCounterpointThe arts
DOInot available

Abstract

fetched live from OpenAlex

"Dance and musical improvisation are ephemeral expressions urging us to embrace the moment in thoughtful joy. Devon Fornelli’s improvisations documented here are two performances: his CitySounds, created on 18 September 2015 for the opening of the Marilyn I. Walker School of Fine and Performing Arts in downtown St. Catharines, Ontario; and his Garden Performance, five years later, on 9 May 2020, offered as a reflection on the COVID-19 pandemic and the \ntemporary lockdown of the MIWSFPA. This documentation includes music notations, three short essays and the only remaining photograph of Fornelli’s improv’ in September 2015. Thomas Ayouti’s short story ‘Aux corps cassés’ – roughly translated, ‘broken bodies’ – offers a counterpoint to Fornelli’s practice. Thematizing the creation of a dance performance, the narrative grows, gains speed, intertwines the dancers’ movements and the narrator’s loving characterization of his friend. Whereas Fornelli’s improvisations express the persisting flow of our environment, Ayouti’s piece follows the fervid crescendo of emotions." -- Distributor'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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.066

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 studies0.0050.010
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.003

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 head0.013
GPT teacher head0.258
Teacher spread0.246 · 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
Published2021
Admission routes1
Has abstractyes

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