An Environmental Scan of Existing Canadian Childcare Resources Targeting Improvements in Health Behaviours
Bibliographic record
Abstract
The objective was to conduct an environmental scan of existing Canadian childcare resources targeting nutrition, physical activity, sedentary behaviour, and/or sleep. A comprehensive search plan was conducted that involved four search strategies: (1) grey literature databases, (2) customized Google search engines, (3) targeted websites, and (4) consultation with content experts. A resource (i.e., information, materials) must have been created by government or an organization/agency within Canada, available in English, intended for childcare educators or directors working with children ≤ 5 years of age, and focused on targeting improvements in nutrition, physical activity, sedentary behaviour, and/or sleep. The quality of each included resource was assessed using a modified version of the Authority, Accuracy, Coverage, Objectivity, Date, Significance checklist. A total of 192 eligible resources were included. Most resources targeted only nutrition (n = 101) or physical activity (n = 60), and few resources targeted only sedentary behaviour (n = 2) or sleep (n = 1). The remaining 28 resources targeted more than one health behaviour. The 4 most common topics of resources were menu/meal planning (n = 55), healthy nutrition practices/environment (n = 37), physical activities/games (n = 33), and nutrition/food literacy (n = 20). Only 52 included resources cited evidence. One-third of the included resources (n = 64) were rated as high quality, including 55 that received a point for the significance criterion. Therefore, numerous high quality Canadian childcare resources exist for nutrition and physical activity. Future resource development is needed for sedentary behaviour and sleep. Findings can assist future intervention work and the database of resources can be utilized by relevant stakeholders to support other childcare initiatives. Supplementary Information: The online version contains supplementary material available at 10.1007/s10643-021-01266-2.
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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 | 0.012 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.050 | 0.081 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".