Influential factors in physically active leisure for international students at the University of Windsor: A qualitative study (Ontario).
Bibliographic record
Abstract
The purpose of this exploratory study was to gain deeper insight into different factors for international students at the University of Windsor that influence involvement in and enjoyment of physical activity programs organized by Campus Recreation Services. The main source of data for this qualitative study were 12 semi-structured interviews with six male and six female international students from the University of Windsor, who represented a variety of cultural backgrounds. Three groups of four students were selected based upon their involvement in Campus Recreation Sport Programs during the Winter term of 2004: no involvement, involvement in recreational classes, and involvement in intramural leagues. To study the problem in a systematic way, factors that impact sport behaviour of international students were categorized into three types: intrapersonal, interpersonal and structural (Crawford & Godbey, 1987). The NUD*IST software program for qualitative research was used as a tool to manage and structure the transcribed data. The results of the study indicated that Campus Recreation Services play an important role in the provision of physically active leisure for international students. However, sport administrators should keep in mind that international students have a different cultural sporting background, which means that they are used to different methods for satisfying their sporting needs. The study results suggest that these differences in sporting traditions are easier to overcome for exchange students than for other international students. The most important obstacles to overcome that were identified are: low priority on sport, small social network, unavailability of favourite sports, lack of time, lack of financial resources and lack of experience or skill. The most important facilitators were the need to meet new people and the desire to experience a new culture. (Abstract shortened by UMI.) Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2004 .M48. Source: Masters Abstracts International, Volume: 43-01, page: 0112. Adviser: Victoria Paraschak. Thesis (M.H.K.)--University of Windsor (Canada), 2004.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".