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Record W2588240889 · doi:10.5539/jedp.v7n1p155

The Importance of the Sex of the Parents and of the Sex and Age of the Children with Autism Spectrum Disorders to Family Resilience

2017· article· en· W2588240889 on OpenAlexvenueno aff
Paschalis Kavaliotis

Bibliographic record

VenueJournal of Educational and Developmental Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsAutismPsychologyPsychological resilienceDevelopmental psychologyFamily resiliencePopulationPsychological interventionMental healthInclusion (mineral)Clinical psychologyPsychiatryDemographySocial psychology

Abstract

fetched live from OpenAlex

The resilience of parents of children with autism is considered as one substantial strategy to address the problems in raising a child with autism spectrum disorders. In this article, the results of the investigation of the relation between the parents’ family resilience and their sex, as well as their children’s sex and age, are shown. The parents of 312 autistic children in Greece, all in couples, namely 624 men and women, consisted the population sample. It was considered that, at least regarding the factor of the sex, the research would result in covering some research gaps of the bibliography, such as the interest in the fathers, provided that research usually investigates the female side, ignoring, to a great extent, the paternal behavior. Moreover, it was believed that the research can practically contribute as a guide for the inclusion of the parents themselves in the therapeutic interventions of autism and highlight the importance of dividing their responsibilities in the care of the autistic child, which is usually placed on the shoulders of women, namely on the mothers, with every possible consequence on their mental, emotional and physical health. The correlation of resilience and sex also took into account the parameter of the children’s sex, as well as the issue of their age, in order to draw conclusions also about the importance of these factors of impact on the parents’ resilience.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.030
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.352
Teacher spread0.328 · 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.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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