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Record W835370299 · doi:10.5206/eei.v25i2.7722

Developing Social Skills of Summer Campers with Autism Spectrum Disorder: A Case Study of Camps on TRACKS Implementation in an Inclusive Day-Camp Setting

2015· article· en· W835370299 on OpenAlexaffvenueabout
Kimberly Maich, Carmen Hall, Tricia van Rhijn, Laurie A. Quinlan

Bibliographic record

VenueExceptionality Education International · 2015
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of GuelphFanshawe CollegeBrock University
Fundersnot available
KeywordsAutism spectrum disorderSocial skillsPsychologyAutismDevelopmental psychologyInclusion (mineral)Exploratory researchMedical educationMedicineSocial psychologySociology

Abstract

fetched live from OpenAlex

This research provides preliminary results of an exploratory case study conducted of the Camps on TRACKS program in an inclusive, municipal day-camp program in southwestern Ontario, Canada. Positive changes are demonstrated in the social skills of nine day campers with an autism spectrum disorder (ASD) who participated in the program. In this model of social inclusion, all campers were taught skills to interact with peers with exceptionalities through a peer-mediated model. Social skills change was measured using direct observation and counsellor questionnaires. Primary findings included an overall increase in social skills in campers with an ASD, and an inverse relationship between adult and peer interactions. Camps on TRACKS is a promising model for supporting the social skills development of campers with an ASD in inclusive settings.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.003
Scholarly communication0.0010.001
Open science0.0010.002
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 head0.061
GPT teacher head0.472
Teacher spread0.411 · 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 designCase report
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

Citations10
Published2015
Admission routes3
Has abstractyes

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