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Record W1976431784 · doi:10.5539/jfr.v3n1p1

Development and Acquisition of Flavor and Food Preferences in Children: An Update Until 2010

2013· article· en· W1976431784 on OpenAlexvenueno aff
Paloma Rohlfs Domínguez

Bibliographic record

VenueJournal of Food Research · 2013
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsnot available
FundersJunta de AndalucíaUniversidad de Granada
KeywordsBreastfeedingFlavorTastePsychologyDevelopmental psychologyEnvironmental healthFood scienceMedicineBiologyPediatrics

Abstract

fetched live from OpenAlex

The purpose of the present research is to identify the experience-related mechanisms which induce the establishment of children’s flavor, food and drink acceptance and preferences. The development of children’s preferences for flavors, foods and drinks is mediated by a variety of mechanisms, such as flavor transmission via amniotic fluid (AF) and neonatal feeding regimen (breastfeeding and formula milk-based feeding), mere repeated exposure, conditioned preferences for or aversions to gustatory stimuli based on subsequent postingestive consequences, parental strategies and food management of school meals. Operation of specific mechanisms is age-dependent, but they may have interacting effects. An essential feature of these mechanisms is exposure to flavors and foods, which requires prior selection of foods by adults and thereby guarantees cultural transmission of gastronomic habits. Promoting healthy patterns of food consumption by children, such as diets rich in vegetables, requires careful manipulation of these experience-related mechanisms. Flavor, food and drink preferences developed by young and older children appear to remain stable in later life stages, probably due to gustatory imprintings originated during prenatal gestation and childhood. However, the specific age ranges during which such gustatory imprinting may occur, remain, in most cases, unknown. In addition to this, there is a need for further research on specific aspects of the above-mentioned mechanisms to elucidate the development of food preferences in children. For example, the impact of breastfeeding history on later food and/or flavor preferences beyond infancy should be ascertained.

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: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.003

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 head0.126
GPT teacher head0.447
Teacher spread0.321 · 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
GenreReview

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

Citations16
Published2013
Admission routes1
Has abstractyes

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