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Record W2399300591

[Parent's social representations of preschool childrens' weight and lifestyle].

2013· article· en· W2399300591 on OpenAlexaff
Lucie Lemelin, Frances Gallagher, Jeannie Haggerty

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
Field
Topic
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsOverweightPsychologyDevelopmental psychologyQualitative researchGerontologyObesityMedicineSociology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: For preschool children aged four-five years, parents play a key role in the adoption of a healthy lifestyle. Social representations is central to understanding the choice of health behaviours promoted by the parent in their child's life. OBJECTIVE: To describe the social representations of parents with respect to the weight and lifestyle of children aged four to five. METHODS: In their descriptive qualitative study, two semi-structured interviews were conducted with a purposive sample of 14 parents who had either normal weight or (overweight or obese) children aged four to five until data saturation was achieved. The collected data was analyzed using inductive analysis. RESULTS: Some parents view weight as a health issue while others consider a chubby appearance as normal for child aged four to five. All participating parents view lifestyle as a demanding challenge. CONCLUSION: The results provide guidance for developing healthy lifestyle strategies that are consistent with parental obligations.

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)0.002
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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