MétaCan
Menu
Back to cohort

Early Interventions on Children with ASD: A Comprehensive Review

2024· review· en· W4401183893 on OpenAlexaff
Haoming Zhou

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2024
Typereview
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsKwantlen Polytechnic University
Fundersnot available
KeywordsPsychological interventionAutism spectrum disorderIntervention (counseling)Nature versus nurturePsychologyDevelopmental psychologyMaturity (psychological)AutismTest (biology)Perspective (graphical)Quality (philosophy)Clinical psychologyComputer science

Abstract

fetched live from OpenAlex

This study delves into the developmental outcomes and quality of life perspective in children with autism spectrum disorder (ASD) following early therapies. The study aims to unveil the efficacy of early interventions that target the myriad issues composing ASD through an exhaustive review of literature coupled with data analysis. It is identified that interventions have the capacity to mitigate basic impairments and nurture adaptive behavior: thus, fostering social interaction and communication, which are critical skills. In this study, the researcher establishes a framework for exploration based on various ethical considerations surrounding the issue and factors like technology and treatment methods that can enhance intervention effectiveness. They play a role not only in helping ASD children but also in their families, contributing towards positive outcomes for all involved parties. Interestingly enough, age along with hours spent studying show a significant correlation with test results — underlining the importance of academic engagement alongside developmental maturity indicated by these variables. In a related regression analysis: age and hours studied demonstrate positive relationships with test scores which in turn suggests that early interventions might lead to improvements in academic performance; an aspect worth consideration when devising intervention programs further down the line.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.129
GPT teacher head0.488
Teacher spread0.358 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueLecture Notes in Education Psychology and Public MediaSame topicFamily and Disability Support ResearchFrench-language works237,207