Engaging Newcomers in Physical Activity to Support Healthy Early Childhood Development
Bibliographic record
Abstract
The importance of physical activity on our well-being and health is well understood. So too is our understanding of the importance of a healthy early childhood development. A third area of extensive research revolves around newcomer engagement and settlement. However, little is known about the compound effect of all of these issues together. This study explores the following: 1) What physical activity programs and services exist for newcomer children; 2) What limits the participation of newcomer children in physical activity; 3) What encourages their participation and; 4) What additional supports could stem from strong guiding policy and initiatives on physical activity for newcomer children. There is limited direct research related to physical activity and newcomer children. Thus, extrapolation of related literature which stresses the importance of physical activity in early childhood development leads to the conclusion that the same must be true for newcomer populations. A review of programs and services in Canada suggests there are many supports for newcomer youth who wish to be physically active, but very limited programming for younger children under the age of five, in other words, pre-school aged children. This study consisted of structured interviews of five key informants from organizations across Canada that work with newcomer children and youth. The interviews explored the types of programs offered, the barriers faced by the newcomers that impede their participation in physical activity, the availability of political backing, funding and policy to support their initiatives, and whether these programs and services were useful tools with regards to a positive settlement experience for newcomer families. Information obtained from the key informants consisted of their accounts of their own experiences, their opinions, as well as some primary data from their internal research. The results of these surveys suggest that physical activity initiatives are well-appreciated services by newcomers. Additionally, they suggest that organized physical activity provides a great opportunity for organizations to address many additional issues facing new Canadians. Physical activity programs for newcomer children have the capacity to not only contribute to positive early childhood development, but to help newcomer children settle into their new communities.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".