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Stress in Parents of Adults with Intellectual Disabilities Attending Special Olympics Competitions

2005· article· en· W2048885913 on OpenAlexaff
Jonathan A. Weiss, Terry Diamond

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2005
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsYork University
Fundersnot available
KeywordsAttendanceIntellectual disabilityPsychologyTest (biology)Stress (linguistics)Developmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Background It is important to determine how programmes serving the individual with intellectual disability may also help to reduce stress in parents of adult children with intellectual disabilities. The aim of this study was to test whether parents who frequently watch their children at Special Olympics (SO) competitions report less stress than those who watch with less frequency. Methods A total of 57 mothers and 39 fathers completed the Parenting Stress Index in reference to their children with intellectual disability, whose ages ranged from 17 to 42.3 years. Frequency of parental attendance at competition and volunteering for SO was also assessed. Results Parents who frequently attended their children's competitions reported less stress than those who attended with less frequency. Mothers who volunteer, reported more child‐related stress than those who did not. A number of other gender‐specific relations were found. Conclusions These results support the hypothesis that parents who frequently see their children compete in SO have a more positive parent–child experience than those who do not attend with the same frequency. Experimental research, with controlled pre–post designs, is needed to directly assess any causal effect.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.096
GPT teacher head0.388
Teacher spread0.292 · 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

Citations19
Published2005
Admission routes1
Has abstractyes

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