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Record W2413419299 · doi:10.1111/jar.12264

Out of School and Into Distress: Families of Young Adults with Intellectual and Developmental Disabilities in Transition

2016· article· en· W2413419299 on OpenAlexafffund
Hélène Ouellette‐Kuntz, Ashleigh Blinkhorn, Ashley Démoré

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsKingston Health Sciences CentreQueen's University
FundersOntario Ministry of Community and Social ServicesYork UniversityGovernment of Ontario
KeywordsHelpfulnessRespite careDistressPsychologyAutismDevelopmental psychologyPerceptionIntellectual disabilityClinical psychologyAutism spectrum disorderPsychiatryMedicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: The transition period out of the educational system can be a source of stress for parents of young adults with intellectual and developmental disabilities, as families lose the support and respite offered by schools. MATERIALS AND METHODS: Using a before and after design nested within a 24-month follow-up study of parents seeking adult developmental services for their children, parents' perception of distress was measured using the Brief Family Distress Scale (Journal of Child and Family Studies, 20, 2011, 521) and their perception of helpfulness of formal supports was assessed using the Family Support Scale (Journal of Individual, Family, and Community Wellness, 1, 1984, 45). RESULTS: Parents reported significantly higher levels of distress after their child transitioned out of school. Employed parents and parents of a child with an autism spectrum disorder are at increased risk for distress. CONCLUSIONS: Families fare worse once their adult children are no longer in school, although this is not associated with a reduction in the perception of the helpfulness of formal supports.

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)0.003
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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.066
GPT teacher head0.354
Teacher spread0.287 · 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

Citations71
Published2016
Admission routes2
Has abstractyes

Explore more

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