The Structure of Everyday Self-Care Decision Making in Chronic Illness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As health care reform strategists increasingly recognize the critically important potential of effective everyday self-care decision making for reducing the burden of illness and the strain on health service systems, we must find ways to understand and support it. In this study, the authors investigate persons with expertise in self-care management of type 2 diabetes, HIV/AIDS, and multiple sclerosis to understand how everyday self-care decision making is learned and experienced. They used interview, think-aloud, and focus groups to construct an account of how persons affected by these chronic diseases make decisions in relation to the choices in their everyday lives and learn to manage the untoward effects of these conditions according to their unique contexts and values. The findings form a conceptual foundation for ongoing inquiry into this complex phenomenon and provide insights that might assist clinicians to understand more fully the responses and attitudes of those they serve.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it