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Record W2126098807 · doi:10.1123/apaq.21.1.4

A Mental Skills Package for Special Olympics Athletes: A Preliminary Study

2004· article· en· W2126098807 on OpenAlexaff
Melanie Gregg, Dennis Hrycaiko, Jennifer Mactavish, Garry L. Martin

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2004
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAthletesPsychologyTask (project management)Intervention (counseling)Track and field athleticsMultiple baseline designReplicateMental healthApplied psychologyClinical psychologyDevelopmental psychologyPhysical therapyPsychiatryMedicine

Abstract

fetched live from OpenAlex

The purpose in this study was to replicate and extend the mental skills training (MST) package of Wanlin, Hrycaiko, Martin, and Mahon (1997) to Special Olympics track and field athletes with intellectual disabilities. Three participants ranged in age from 21 to 23 years. A multiple baseline design across individuals was used to assess the effects of the intervention on off-task behaviors and athletic performance (i.e., work output and competition results). The results were clearly beneficial for two participants, decreasing the frequency and duraton of off-task behaviors and increasing the percentage of laps completed for the third participant. A social validity assessment provided further support for the effectiveness of the intervention.

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)0.007
metaresearch head score (Gemma)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.016
GPT teacher head0.288
Teacher spread0.273 · 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

Citations25
Published2004
Admission routes1
Has abstractyes

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