My Baby Bird - Living With Type 1 Diabetes: A Phenomenological Analysis
Bibliographic record
Abstract
“This is a life-changing experience for all of us. You have one child with diabetes and your whole family has diabetes” (Isenberger, 2009, p. 134). More than two million Canadians have diabetes; 10% live with type 1 diabetes, involving the pancreas not being able to produce insulin (Canadian Diabetes Association, 2009). The incidence of type 1 diabetes is greater than has previously been described (Karvonen et al, 2000). One longitudinal phenomenological study used interviews for data collection to uncover family members’ lived experiences when their children (aged 9-14) were diagnosed with type 1 diabetes (Wennick & Hallstrom, 2006, 2007; Wennick, Lundqvist, & Hallström, 2009). Interestingly, Balfe (2009) wrote, “young adults with type 1 diabetes are a “forgotten group” (p. 128). The purpose of our ongoing phenomenological research is to explore the experiences of young adults and their family members. We are having challenges recruiting potential participants (individuals and their family members) to write about and email their experiences living with or having a young adult member who lives with type 1 diabetes; however, we have one description of a lived experience written by a young adult which is so eloquent, that we wanted to share it with others. We have completed a Giorgi (2009; Giorgi & Giorgi, 2003) descriptive phenomenological analysis guided by the humanbecoming theory for nurses (Parse, 1998) and have related the findings to the literature. This paper includes a moving metaphorical illustration about what it is like for one young adult to live with type 1 diabetes.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".