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Record W2061690620 · doi:10.1080/1034912x.2010.524417

Physical Disability, Stigma, and Physical Activity in Children

2010· article· en· W2061690620 on OpenAlexaff
Carolyn J. Barg, Brittany D. Armstrong, Samuel P. Hetz, Amy E. Latimer‐Cheung

Bibliographic record

VenueInternational Journal of Disability Development and Education · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsQueen's University
Fundersnot available
KeywordsStigma (botany)PsychologyPhysical activityDevelopmental psychologyPsychiatryMedicinePhysical therapy

Abstract

fetched live from OpenAlex

Using the stereotype content model as a guiding framework, this study explored whether the stigma that able‐bodied adults have towards children with a physical disability is reduced when the child is portrayed as being active. In a 2 (physical activity status) x 2 (ability status) study design, 178 university students rated a child described in one of four vignettes on 12 dimensions of perceived warmth and competence. Results revealed a main effect of ability status on warmth (p < 0.001) such that children with a physical disability were rated significantly higher in perceived warmth than able‐bodied children, regardless of activity status (d = 0.86). Also, there was a significant interaction (p = 0.02) of ability and activity status on perceived competence, indicating that ratings of perceived competence were significantly higher for active children with a physical disability than for all other children (d = 0.54–0.64). Results suggest that physical activity should be explored as a way to mitigate the stigmatisation of children with a physical disability.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.013
GPT teacher head0.360
Teacher spread0.347 · 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 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

Citations61
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Disability Development and EducationSame topicInclusion and Disability in Education and SportFrench-language works237,207