The lived experience of young adults emotionally labouring with type 1 diabetes: Findings of an interpretive phenomenological study
Bibliographic record
Abstract
Background: Type 1 diabetes is a life-long metabolic illness. Typically diagnosed in childhood, adolescence, and young adulthood, this diagnosis is often associated with increased psychological vulnerability. Diabetes distress is associated with the daily demands of managing complicated medication and dietary regimes that are emotionally, psychologically, and physically taxing. Emotional labour may be required to manage or negotiate the demands of diabetes distress. Emotional labour is the process of managing feelings and expressions that come with fulfilling the emotional demands of necessary tasks or roles. However, the meaning of emotional labour has not been explored for young people living with Type 1 diabetes. Methods: Using Interpretive Phenomenological Analysis, we conducted this study to explore the lived experience of emotional labour for young adults living with Type 1 diabetes in adulthood. Results: Themes were identified that constituted sources of emotional labour inherent to participants' experiences of diabetes management. The over-expenditure of emotional labour suggests profound implications for mental health outcomes and diabetes distress levels, and participant experiences revealed institutionally imbedded ableism that elicited further expenditure of emotional labour. Conclusion: The findings suggest that reconsideration of educational frameworks and praxis within diabetes healthcare may alleviate emotional labour and diabetes distress.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".