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Record W2948839503

A Parent’s Perspective is Worth a Thousand Words: Parents of Children with ASD and Their Perspectives on a Community-Based Parent Education Program

2019· article· en· W2948839503 on OpenAlexaffabout
Kimberly Maich, Kelly Etain Alves

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2019
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsSeneca PolytechnicKimberly-Clark (Canada)Memorial University of NewfoundlandBrock University
Fundersnot available
KeywordsPerspective (graphical)Parent educationPsychologyDevelopmental psychologyVisual artsArt
DOInot available

Abstract

fetched live from OpenAlex

In 2012, several community-based agencies in the Greater Toronto Region of Ontario overseeing behaviour intervention services for young children with Autism Spectrum Disorder (ASD) began delivering curricula to parents. Session content focused on ASD characteristics, Applied Behaviour Analysis, increasing awareness of available community resources, and active engagement in their child’s learning. Using a mixed methods approach, this research project explored parent perspectives on their involvement in these education sessions. Through constant comparison analysis four major and three minor themes emerged. While parent participants confirmed this education program included relevant content and a favourable delivery format, noteworthy gaps were identified. Implications for practice would be applicable to educators interested in providing quality group-based education to parents of young children with ASD.

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)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.003
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.326
Teacher spread0.286 · 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 designQualitative
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

Citations1
Published2019
Admission routes2
Has abstractyes

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