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Record W3110593773 · doi:10.33921/yxzy3851

Explanatory Model of the Parent-Child Attachment Relationship in Autism: The Influence of Siblings and Parental Stress

2020· article· en· W3110593773 on OpenAlexaffvenue
Lyanne Levasseur Faucher, Estellane St-Jean

Bibliographic record

VenueJournal of Interpersonal Relations Intergroup Relations and Identity · 2020
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPsychologyDevelopmental psychologyAutism spectrum disorderAttachment theoryAutismAutonomyPopulationStyle (visual arts)Medicine

Abstract

fetched live from OpenAlex

The first bond formed between a child and his parent, generally his main attachment figure, remains essential for the development of the child’s autonomy. While around 1% of the world’s population is diagnosed with autism spectrum disorder (ASD; Fédération québécoise de l’autisme, 2019), some factors are said to negatively influence the development of the attachment between children with ASD and their parents, explaining why they seem more likely to develop an insecure attachment style (Oppenheim et al., 2012). An explanatory model has been proposed by Lapointe (2017), which suggests that certain factors, such as social communication deficits, associated disorders, and parental stress, could have a moderating effect on the relation between the quality of the attachment and the autistic symptoms. The following article proposes an enhancement of this theoretical model by considering a possible bidirectional link between siblings and parental stress. Keywords: parent-child attachment, insecure attachment style, autism spectrum disorder, parental stress in autism spectrum disorder, siblings of autistic children

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)0.002
metaresearch head score (Gemma)0.004
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 score0.013
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.044
GPT teacher head0.345
Teacher spread0.301 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Interpersonal Relations Intergroup Relations and IdentitySame topicFamily and Disability Support ResearchFrench-language works237,207