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Mealtime Behaviors of Young Children: A Comparison of Normative and Clinical Data

2001· article· en· W2324008501 on OpenAlexaff
William B. Crist, Anne Napier‐Phillips

Bibliographic record

VenueJournal of Developmental & Behavioral Pediatrics · 2001
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsIzaak Walton Killam Health Centre
Fundersnot available
KeywordsNormativeDevelopmental psychologyPsychologyDescriptive statisticsClinical psychologyFeeding behaviorMedicine

Abstract

fetched live from OpenAlex

The objective of this study was to compare the behavior of healthy young children around feeding and mealtimes to the behavior of two clinical groups, children referred for feeding problems without related medical issues and those with medical issues associated with the feeding problems. Using the Behavioral Pediatrics Feeding Assessment Scale, data were obtained for 96 healthy children between the ages of 9 months and 7 years, and descriptive information is presented in the paper on these normal mealtime behaviors. In comparing this normative data to similar data obtained from the clinical groups, our primary purpose was to investigate whether children with feeding problems engage in fundamentally different behaviors (maladaptive) or similar behaviors, but at an increased frequency to normal children. Factor analysis identified five common patterns of behavior across the three groups. The difference in parental report of feeding difficulties between healthy and clinical groups appears to reflect the frequency in which the child with feeding difficulties engages in the problematic behavior, rather than fundamental differences in behaviors exhibited during mealtimes.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.112
GPT teacher head0.428
Teacher spread0.317 · 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 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

Citations320
Published2001
Admission routes1
Has abstractyes

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