Parental control attitudes over their pre-school children’s diet
Bibliographic record
Abstract
Abstract It is during childhood that eating behaviors begin to form, with parents being the main agents in this process. Parents have eating habits that shape their children’s diet, both in terms of variety and quantity of food eaten. The aim is to analyze sociodemographic factors related to parental control over their children’s diet. Descriptive-correlational and cross-sectional study, with a sample of 46 parents of preschool children. An online questionnaire was used to collect data, with data processing carried out using SPSS, using descriptive and inferential statistics. The majority of respondents were mothers (89.1%), belonged to the 20–44 age group (89.1%), and were married (89.1%). The mean of the subscales of the children’s food questionnaire food restriction, pressure to eat, and monitoring was 3.266 ± 0.570, 3.109 ± 1.206, and 4.268 ± 0.848, respectively. The mean rank score for the food restriction subscale differed significantly between parents with different age groups (Mann–Whitney: p < 0.014), with the 45–64 age group having the highest mean rank, i.e., they restricted their children more in food. The age group is a factor related to food restriction, making it essential to take a closer look at the parents of that age group, during the health education process.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".