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Record W1607548500 · doi:10.5206/eei.v18i3.7632

Stress Appraisal and Coping in Siblings of Childrenwith Special Needs

2008· article· en· W1607548500 on OpenAlexaffvenue
Melanie Orfus

Bibliographic record

VenueExceptionality Education International · 2008
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsCoping (psychology)SiblingPsychologyFeelingSpecial needsWishful thinkingDevelopmental psychologySibling relationshipClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Self-reports from siblings of children with special needs regarding their appraisal of family stress and coping are important additions to the disability literature. Twelve school-age siblings of children with special needs were interviewed about their daily hassles, uplifts, and coping strategies related to living in a family with a child with a disability. Parents also reported on family coping strategies. Children reported that the most frequent daily hassle was when their sibling with special needs cried, screamed, or yelled when he/she did not want to do some-thing. The most frequent daily uplift was when their sibling gave hugs or kisses. Children reported feeling most stressed when embarrassed by their sibling with special needs in front of friends and happiest when playing with their sibling. Wishful thinking was a common child coping strategy during stressful times. Im-plications for working with families with special needs are discussed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.045
GPT teacher head0.400
Teacher spread0.355 · 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 teacher head, not a consensus.

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

Citations6
Published2008
Admission routes2
Has abstractyes

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