The Lived Experience of Canadian University Students with Type 1 Diabetes Mellitus
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to examine the lived experiences of university students with type 1 diabetes mellitus. METHODS: University students participated in a 2-part focus group. Transcripts were analyzed thematically using an open-coding approach. Data analysis was guided by a framework analysis method and emergent themes were triangulated between study authors for validity. RESULTS: Three major themes identified in this study were food issues within the university environment, lack of diabetes awareness on campus and internal struggles related to the participants' relationships with their diabetes. CONCLUSIONS: Results illustrate some of the unique challenges that interfere with diabetes self-management, academic performance and quality of life among this sample of university students. Findings can provide insight for diabetes educators and other healthcare practitioners regarding the issues that may interfere with optimal diabetes self-care in this population. Findings also can be used to inform university administrators how to make the university environment more diabetes friendly for its students.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".