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Record W2081515005 · doi:10.1177/1941406409334522

Treatment of a 7-Year Old Girl With Long-standing Disordered Eating Behaviors Since Infancy

2009· article· en· W2081515005 on OpenAlexaff
Line Tremblay, Michel Larivière

Bibliographic record

VenueICAN Infant Child & Adolescent Nutrition · 2009
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsLaurentian University
Fundersnot available
KeywordsGirlPsychologyEating behaviorWeight gainDevelopmental psychologyPediatricsBody weightClinical psychologyMedicineObesity

Abstract

fetched live from OpenAlex

The authors present the case of a 7-year-old girl with disordered eating secondary to severe symptoms of gastroesophageal reflux (GER) experienced during infancy. Symptoms include deficits in interpreting signs of hunger and refusals to eat, leading to latent physical development. Methods of assessment include parent and child interviews, child eating behaviors and parental feeding strategies questionnaires, a 2-week food record, and mealtime behavioral observations. The objective of treatment was weight gain through decreasing problematic eating behaviors: dawdling eating, excessive talking at mealtime, and frequently leaving the table during meals. Cognitive-behavioral approaches (eg, using reinforcements and consequences, increasing food intake by small portion sizes, and increasing the child's awareness of signs of hunger through direct prompts and parental modeling) were successful, and parents reported physical growth weight gain at 6-month follow-up.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.267
Teacher spread0.255 · 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.

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
Published2009
Admission routes1
Has abstractyes

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