“My Life Sucks Right Now”: Student-Athletes’ Pandemic-Related Experiences With Screen Time and Mental Health
Bibliographic record
Abstract
The COVID-19 pandemic, and associated stay-at-home orders, instigated far-reaching disturbances in the lives of student-athletes, which included school closures and sport cancellations. The purpose of the study was to examine first-hand student-athletes’ pandemic-related experiences with screen time and mental health. A total of 22 Canadian high school student-athletes were individually interviewed in 2021. Interviews occurred online via videoconferencing and were subjected to a reflexive thematic analysis, which led to the creation of three themes: (a) pandemic life is a major grind, (b) screen time during COVID times: I feel guilty, but what else can I do? and (c) mental health during COVID times: mostly pain, but there is a silver lining. Results are discussed in terms of their implications for research and practice as it pertains to formulating endemic initiatives best supporting the many student-athletes confronting the psychosocial aftereffects of having lived through a global pandemic.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.001 |
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".