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Record W2545501609

Children's perceptions of disability in the context of elementary school dance education

2016· article· en· W2545501609 on OpenAlexaff
Michelle R. Zitomer

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDancePerceptionContext (archaeology)Thematic analysisPsychologyDance educationPedagogyQualitative researchData collectionMathematics educationSociologyVisual artsSocial science
DOInot available

Abstract

fetched live from OpenAlex

This study applied a relational ethics lens to investigate the perceptions of disability of elementary school children without disabilities within their dance education contexts. 14 children between the ages 8 and 11 from five elementary schools participated. A qualitative interpretivist approach guided the study. Data collection involved two small group semi-structured interviews, a drawing activity, class observation, and researcher field notes. Data analysis followed thematic analysis guidelines. Findings are conceptualized based on four themes: (a) disability as limited ability; (b) difference as normalized; (c) dance as expression of uniqueness; and (d) classmates as helpers. While understanding disability as a limitation, participation in a dance education environment that encouraged collaborative creative movement exploration contributed to these children’s learning to view difference as ordinary, and appreciate every person’s unique ways to dance.

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)0.004
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0040.007
Scholarly communication0.0040.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.338
Teacher spread0.323 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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