More Than Self-Management: Positive Youth Development at an Inclusive Type 1 Diabetic Camp
Bibliographic record
Abstract
Diabetes-focused camps emerged as a way to provide ongoing diabetes self-management education to youth and their families in a physically active context. Past research suggests participation at camp can enhance youths’ glycemic control and glucose monitoring abilities; however, recent studies claim camps can also offer psychological and social benefits. Drawing upon a positive youth development (PYD) approach, the current study examined an inclusive diabetic-focused youth sport camp to (a) identify life skills developed, and (b) explain processes and factors involved in youths’ development of life skills. Focus groups were conducted with 54 youth living with type 1 diabetes mellitus (T1DM) attending an inclusive T1DM sport camp. The model of PYD through sport (Holt et al., 2017) guided the analysis. PYD outcomes (i.e., life skills developed through the camp) were (a) enhanced self-efficacy for self-monitoring of blood glucose, (b) enhanced self-efficacy for sport while living with T1DM, and (c) development of positive relationships. These outcomes were facilitated through the camp’s inclusive approach (i.e., including youth living with and without T1DM), and a PYD climate (implicitly), which included supportive relationships with counsellors and peers, and interestingly, the lack of parental involvement at the camp. The camp’s explicit life skills program focus (i.e., on diabetes self-care skills) also facilitated these outcomes. This study gives camp professionals insight into how an inclusive T1DM sport camp can facilitate life skills, and optimize PYD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".