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Record W2971930613 · doi:10.7202/1061182ar

Perceptions de mères d’enfant présentant un trouble du spectre de l’autisme ayant reçu une intervention comportementale intensive : leurs ressources et leurs défis

2019· article· fr· W2971930613 on OpenAlexaffvenue
Nadia Abouzeid, Nathalie Poirier

Bibliographic record

VenueRevue de psychoéducation · 2019
Typearticle
Languagefr
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyPhilosophy

Abstract

fetched live from OpenAlex

L’objectif général de l’étude est de décrire l’expérience de mères d’enfant présentant un trouble du spectre de l’autisme (TSA) ayant reçu une intervention comportementale intensive (ICI). Plus spécifiquement, leurs défis, leurs ressources (leur savoir, leur sentiment d’auto-efficacité, leur implication et leurs stratégies d’adaptation) et le soutien reçu ont été explorés. Pour ce faire, 15 participantes ont rempli une fiche signalétique et ont été interrogées dans le cadre d’une entrevue semi-structurée. Les données recueillies indiquent que ces mères font face à de nombreux défis découlant du diagnostic de leur enfant. Pour pallier ces difficultés, elles utilisent principalement leurs ressources personnelles et elles déploient de nouvelles stratégies d’adaptation. De plus, leur savoir parental reflète une compréhension du TSA et de l’ICI qui est variable et qui semble associée à la formation et au soutien reçu ainsi qu’à leur implication au sein de l’intervention.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.090
GPT teacher head0.402
Teacher spread0.313 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2019
Admission routes2
Has abstractyes

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