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Record W3195230962 · doi:10.1352/1944-7558-126.5.421

A Technology-Enabled Adaptation of Face-to-Face Caregiver-Mediated JASPER Intervention: Preliminary Examination of Video Conferenced Caregiver Coaching

2021· article· en· W3195230962 on OpenAlexaffabout
Stephanie Shire, Lisa Baker Worthman, Stacy Arbuckle

Bibliographic record

VenueAmerican Journal on Intellectual and Developmental Disabilities · 2021
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsGovernment of Newfoundland and Labrador
Fundersnot available
KeywordsCoachingIntervention (counseling)VideoconferencingPsychologyBaseline (sea)Adaptation (eye)Multiple baseline designFamily caregiversMedical educationApplied psychologyNursingMedicineMultimediaComputer sciencePsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Family-centered practices that involve direct participation of caregivers as part of intervention is critical to effective early intervention. However, regularly scheduled, in person service delivery is not always possible in remote communities, prompting a need for adaptations to the delivery of services, such as the use of live video conferencing to coach caregivers in strategies to promote their children's development. In this study, caregivers and their children ages 2-9 with autism who were living in rural and remote Canadian communities were included. A concurrent multiple baseline design across participants was applied to examine the effects of live video conference caregiver coaching on children's time jointly engaged with caregivers and caregivers' intervention strategy implementation. Results indicated that all children demonstrated greater time jointly engaged and caregivers demonstrated greater use of strategies in comparison to baseline. The results of this study offer preliminary evidence of the effectiveness of real time video conference coaching for caregivers engaging their children with ASD in play.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.302
Teacher spread0.266 · 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 designNon-randomized trial
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

Citations13
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal on Intellectual and Developmental DisabilitiesSame topicFamily and Disability Support ResearchFrench-language works237,207