“Being in Balance”: Self-Management Experiences Among Young Women with Type 1 Diabetes
Bibliographic record
Abstract
Women possess characteristics and experiences unique and different from men. Biological processes such as puberty, menstruation, motherhood and menopause may present challenges to self-management for individuals living with type 1 (T1) diabetes mellitus. In this study, descriptive phenomenology was used to uncover the self-management experiences of nine women aged 22- 30 years living with T1 diabetes. Data collection and analysis occurred simultaneously and followed the methodical structure of van Manen (1997). Study findings revealed five themes: 1) elusiveness of control; 2) dualism of technology; 3) forecasting and maintaining routines; 4) dealing with the “ups and downs”; and, 5) interfacing with the health care team. The essence of the experience for participants revolved around trying to achieve a state of “being in balance.” For these young women, self-management encompassed a desire and need to be in balance with their life and blood sugar levels.
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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) | 0.000 | 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".