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Record W3041763534 · doi:10.5206/eei.v30i3.13443

The Psychosocial Effects of Having a Sibling with Autism Spectrum Disorder

2020· article· en· W3041763534 on OpenAlexaffvenue
Jesseca Perlman, Nina Howe

Bibliographic record

VenueExceptionality Education International · 2020
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsPsychologySiblingDevelopmental psychologyTypically developingSibling relationshipEmbarrassmentAutismPsychosocialAutism spectrum disorderFeelingAngerPerceptionCoping (psychology)Clinical psychologySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Siblings play an important role in one another’s overall development; thus, the sibling relationship is an important subsystem within the family unit. However, in families where one child has an autism spectrum disorder diagnosis, the dynamics between siblings may be different than in families with typically developing children due to the associated deficits in communication. Therefore, this mixed-method study examined the perceptions of six typically developing children regarding their relationship with a sibling with autism. Parents were heterosexual couples, and families were white and mostly middle class. Semi-structured interviews and questionnaires regarding the sibling relationship were administered to the typically developing child. Identification of major themes followed by focused coding was conducted to capture the essence of what was said and to categorize the most frequent themes. Overall, typically developing children highlighted both positive and negative features of their relationships, for example play, feeling proud, embarrassment, and anger. Additionally, children seemed to be at a loss for coping strategies they considered helpful, perhaps due to their own poor and/or developing emotional regulation skills. The findings emphasize the need to support typically developing children and their personal and social development.

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 score0.356
Threshold uncertainty score0.998

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)0.0030.000

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 head0.023
GPT teacher head0.366
Teacher spread0.344 · 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

Citations2
Published2020
Admission routes2
Has abstractyes

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