Evaluation of the impact of the Healthy Start/Départ Santé intervention on improving menu planning practices and improving the congruence between planned menus and actual food served in Saskatchewan childcare centres
Bibliographic record
Abstract
The objective of this study was to evaluate the impact of the Healthy Start/Départ Santé (HS/DS) intervention program on improving menu planning practices and improving the congruence between planned menus and actual food served in licensed childcare centres in Saskatchewan. Overall, 39 licensed childcare centres in the province of Saskatchewan, Canada, were selected through a cluster randomized control trial to evaluate the impact of the HS/DS intervention. The pre and post intervention food menus of these centres were analyzed and compared to the Saskatchewan Childcare Nutrition Guidelines (SCNG). The food and beverages served at lunch were observed and digitally recorded using digital plate-waste measures. The congruence between the planned menus and the actual food served was assessed. Descriptive analyses and non-parametric tests were performed to determine the impact of the intervention. The results of this study indicated that there was no significant difference between the groups regarding the distribution and proportion of centres that adhered to the SCNG. The centres that received the intervention demonstrated significant improvements in adherence to their written menus, with the proportions of match between the items that served and listed (p-value = 0.029), and additional items served (p-value = 0.014). Within each group, intervention and usual practice, there were significant differences in centres that met the foods to limit guideline among the usual practice centres (p-value = 0.035). Findings from this study indicated that the HS/DS intervention had a positive impact on improving the adherence of the participating centres to the centres’ planned menus. HS/DS trial registration number: NCT02375490.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".