“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 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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".