Bibliographic record
Abstract
This article maps the impacts of the coronavirus or COVID-19 pandemic on the daily life and wellbeing of university ice hockey athletes in Atlantic Canada. The study branched out from broader research on participants in all university sports in the region that fall under the national governing body, U SPORTS. The regional conference Atlantic University Sport (AUS) houses eleven member institutions, eight of which are varsity ice hockey teams, for total of approximately 300 athletes in both men’s and women’s competition. In the context of a small body of literature on the university athlete experience in Canada and the new challenges that the pandemic posed for modern life, this exploratory study sought to chronicle how the athletes encountered and endured the pandemic, including the cancellation of competition in the Fall of 2020 and beyond. This is a case study using a multidisciplinary lens. It was informed by a sociological account of disruption and relied on a patchwork of literature from education, psychology, sport management, and health studies. Data collection occurred through an online qualitative questionnaire and a content analysis of local mainstream media articles. It was then analyzed partly through a qualitative debrief interview with an athlete from the population. The study results will offer scholars, university sport administrators, and student services professionals an understanding of how university hockey athletes in the region made sense of the long-term uncertainty and frequent changes to their everyday lives, perhaps with a view to improving the quality of support and development programming that institutions offer in the future.
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 | 0.000 |
| 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".