Community sport and the newcomer experience in small cities
Bibliographic record
Abstract
Purpose – This research reports on work related to integrating new immigrants into their local communities. The purpose of this paper is to explore community sport and the newcomer experience in communities through an acculturation framework. Design/methodology/approach – The role of community sport organizations in the acculturation process is explored empirically via a three-stage research study of a small Canadian city that includes interviews with local newcomers, interviews with managers of local community sport organizations, and a website content analysis of community sport organizations in the region. Findings – Results outline a number of important constraints, practices and realities facing newcomers and community sport organizations in improving participation rates and integration. In addition, the use of the acculturation frame provides insight on the perceived value of community sport yet low participation rates among newcomers. Practical implications – There is a need for community sport providers to adopt an acculturation perspective to newcomers rather than the current assimilationist perspective. This change will lead to improvements in sport offerings and newcomer supports. Originality/value – There is an increasing desire to have migrants locate in smaller urban centers rather than the large metropolises of their new home country. However, smaller communities may be perceived by newcomers as less desirable places to live and the communities can face significant integration challenges. Further, there is a dearth of research on newcomers and smaller communities particularly in the area of community sport. This study explores the role of sport as a means to overcome these challenges by assessing the capacity of a smaller city and the needs of immigrants and their families using a lens of acculturation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".