Bibliographic record
Abstract
In this study, we investigated whether the likelihood for University of British Columbia (UBC) students to meet the Public Health Agency of Canada’s (PHAC) recommended physical activity guideline of 150 minutes of moderate to strenuous exercise per week was impacted by their commuting demands, course load and access to fitness facilities. Data was collected through convenience sampling on campus, with a self-report questionnaire administered on iPads. Participants’ objective and subjective barriers to exercise were both measured through the questionnaire. Results indicate that not only are UBC students not meeting the fitness guidelines, but also that they are subjectively attributing their lack of exercise to their course load. However, in regards to objective measures, we did not find any significant correlations between students’ course load or commuting demands and their level of physical exercise. This suggests that students are overestimating how much course load influences their exercise. We did, however, find a significant positive correlation between the cost students are paying for their fitness facilities and their total exercise time. Physical exercise is an important factor for the overall well-being of UBC students, which in turn can affect their academic performance. Thus, UBC should be interested in the implications that this research has on their student life. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".