Factors Influencing Childcare Providers' Food and Mealtime Decisions: An Ecological Approach
Bibliographic record
Abstract
Abstract To better understand and promote healthy nutritional behaviour development in children, research suggests the need to develop a stronger comprehension of influences from their social environment. Yet research has favoured studying parents, with little attention being paid to other important individuals in children's lives, especially from a qualitative research approach. Thus, the goal of this study was to understand the factors influencing childcare providers' decisions regarding nutrition in childcare settings. Semi-structured interviews were conducted with 13 home-based and centre-based childcare providers in the Ottawa region. Through use of the social ecological model, results revealed a comprehensive understanding of different personal, community, and societal factors that influence providers in their decisions regarding food and mealtimes. To promote healthy nutritional behaviours in children, the variety of factors that influence nutritional decisions by providers need to be addressed, given the amount of time Canadian children spend in early childcare settings. Additional informationNotes on contributorsMeghan Lynch Miss Meghan Lynch is a Graduate Student at University of Ottawa Malek Batal Dr Malek Batal is Professor of Nutrition Sciences at University of Ottawa, Ottawa
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".