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Record W4387950529 · doi:10.1002/jaba.1031

An evaluation of video‐prompting procedures via telehealth to teach first aid skills to children with intellectual and developmental disabilities

2023· article· en· W4387950529 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Behavior Analysis · 2023
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsBrock University
Fundersnot available
KeywordsTelehealthMinor (academic)PsychologyFirst aidMultiple baseline designIntellectual disabilityVideo feedbackMedical educationTelemedicineMedicinePsychiatryMedical emergencyIntervention (counseling)Health care

Abstract

fetched live from OpenAlex

Unintentional injuries are one of the leading causes of morbidity and mortality among children with intellectual and developmental disabilities (IDD). First aid training involves teaching critical first aid skills, some of which are designed to treat unintentional injuries. To date, no study has (a) evaluated the effects of a video-prompting procedure to teach first aid skills to children with IDD or (b) attempted to teach these skills to children by using a telehealth delivery format. We used a concurrent multiple-baseline-across-skills design to evaluate the efficacy of a video-prompting procedure via telehealth to teach five children with IDD to perform first aid on themselves for insect stings, minor cuts, and minor burns under simulated conditions. For all participants, our procedure produced large improvements that maintained for a minimum of 4 weeks. Furthermore, the effects of the training generalized to novel confederates for all participants, and these effects maintained for a minimum of 4 weeks.

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.

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)0.001
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 score0.036
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.353
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