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Record W3207034194 · doi:10.15353/cjds.v10i2.802

Raising the Bar in Disability Arts

2021· article· en· W3207034194 on OpenAlexvenueno aff
Menka Nagrani

Bibliographic record

VenueCanadian Journal of Disability Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsDanceExcellenceContext (archaeology)Quality (philosophy)Raising (metalworking)SociologyThe artsPerforming artsSubject (documents)Visual artsPsychologyAestheticsPedagogyArtComputer sciencePolitical scienceEngineeringHistoryLaw

Abstract

fetched live from OpenAlex

This article discusses my pedagogical approach towards teaching dance, movement, and theatre to artists with cognitive disabilities. I have developed a training method for artists participating in my classes and productions that invites individual creative exploration and professional rigour. My inclusive dance-theatre company, Les Productions des pieds des mains, creates productions that are presented on professional artistic platforms and not limited to the context of disabled art presentations. Our productions are regularly subject to the same selection criteria as would be a non-inclusive company. With this in mind, I aim for excellence. I work towards creating high quality shows while helping artists with a disability push past their perceived limits and surpass themselves. In this article I will share my findings and strategies, perfected throughout my many years of experimentation, explaining how to reach a high-level of quality in inclusive productions, as well as how I help artists with a disability reach a level of quality in their performances which allows them to find gainful employment within the artistic domain.

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)0.005
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.433
GPT teacher head0.502
Teacher spread0.070 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

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