Cultural Determinants of Fruits and Vegetable Consumption in Indigenous ( <i>iTaukei</i> ) Fijian Children: A Qualitative Study of Caregivers
Bibliographic record
Abstract
The consumption of fruits and vegetables (F&V) has many health benefits, yet the majority of the world's population, including young children, consume less than recommended. This article provides caregivers' perspectives on cultural determinants of F&V consumption in children in Fiji. A qualitative study design using focus group discussions with caregivers of children aged 6 months to 5 years old in Suva was used. Thematic content analysis was undertaken to identify common issues using four main themes. Subthemes were further analyzed from the broad themes to understand caregiver's perceptions. Caregivers perceived that meal components lacked F&V and food preparation and cooking methods of F&V did not stimulate children's appetite. Non-vegetable products such as meat and fish were perceived as more valued and privileged for those consuming them. Understanding cultural determinants as perceived by caregivers is important to inform strategies to increase F&V consumption in children.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".