Resettlement Experiences, Social Connections, and Physical Activity Among Newcomer Women in Canada
Bibliographic record
Abstract
Objectives: Newcomer women in Canada experience more sociocultural and linguistic barriers than newcomer men, affecting their resettlement and well-being. Physical activity (PA) participation can enhance newcomers’ well-being and belonging to the community, which can, in turn, facilitate integration. To date, little is known about newcomer women’s resettlement experiences in Canada and how PA can facilitate immigrant belonging and integration. This study aimed to examine newcomer women’s resettlement experience, PA behaviour, and sense of belonging in Canada. Design: We used a community-engaged research approach to partner with Kingston Gets Active and Immigration Services Kingston and Area for three years. Using an interpretive phenomenological theoretical perspective (Keen, 1975, Braun & Clarke, 2021), we conducted semi-structured face-to-face interviews with 10 newcomer women in Kingston, Ontario. Reflexive thematic analysis (Braun & Clarke, 2019) was used to identify themes encompassing key concepts. Results: Four themes were constructed: two addressed newcomers’ experience of resettlement: Resettlement is challenging, and Social connections are essential; two addressed aspects of PA participation and how it is connected to belonging and integration: PA is different here, and PA can promote belonging. Conclusion: Resettlement experiences carry challenges including cultural differences with the host community, isolation, and lack of social support. PA participation can improve newcomers’ well-being and promote belonging by providing an opportunity to build relationships with Canadians and other immigrants. These findings contribute valuable insights for policymakers and community organizations, striving to enhance newcomer women's resettlement experience and well-being in their journey to build meaningful lives in their new community.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".