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Record W3080698000 · doi:10.1097/iyc.0000000000000176

Challenges and Successes in Addressing Food Selectivity in Children With Developmental Disabilities During Preschool Mealtimes

2020· article· en· W3080698000 on OpenAlexaff
A. Hunter Gast, Collin Shepley, Justin D. Lane

Bibliographic record

VenueInfants & Young Children · 2020
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsIntervention (counseling)PsychologyDevelopmental psychologyConsumption (sociology)Exploratory researchClinical psychologyApplied psychologyPsychiatry

Abstract

fetched live from OpenAlex

We evaluated the effects of a multicomponent intervention to address food selectivity issues of 3 preschoolers with developmental disabilities. The intervention comprised strategies evidencing ecological validity in both research and practice. All sessions took place during typical mealtimes in children's classroom or lunchroom, with peers present, and a school-based staff member serving as the instructor. A multiple probe design across behaviors (touch, smell, taste, and eat), with a nested changing criterion design in the final tier, was used to evaluate changes in eating behaviors. Exploratory behaviors related to eating increased for all children; however, the designed intervention did not result in increased consumption of nonpreferred foods. Modifications resulted in one child demonstrating consistent increases in the consumption of nonpreferred foods, but these modifications did not result in increased consumption for other children. Challenges and future directions in treating food selectivity using resources typically available during mealtimes in preschool settings are discussed.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.006
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.032
GPT teacher head0.268
Teacher spread0.236 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2020
Admission routes1
Has abstractyes

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