Acculturation in elite sport: a thematic analysis of immigrant athletes and coaches
Bibliographic record
Abstract
To identify key issues concerning the acculturation of immigrant athletes in sport psychology, a thematic analysis (Braun & Clarke, 2006) was conducted on focus group interview data from immigrant elite athletes relocated to Canada (n = 13) and coaches working with such athletes (n = 10). Two central themes were identified: (a) navigating two world views which referred to acculturation as a fluid process where athletes navigated between cultural norms of the home community and the host community, and (b) acculturation loads, which referred to whether immigrants and those in the host country shared acculturation (i.e., acculturation as a two-way process) or managed the load with or without support from others (i.e., acculturation as one-directional). Each of these central themes comprised sub-themes, which provided further insight into the experiences of acculturation for immigrant elite athletes. From the project, the authors recommend further research utilising case studies to provide a holistic description of the acculturation process from the vantage of various people within the sport context.
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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 | 0.017 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".