Personal Responsibility for Health: Exploring Together with Lay Persons
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
Abstract Emerging parallel to long-standing, academic and policy inquiries on personal responsibility for health is the empirical assessment of lay persons’ views. Yet, previous studies rarely explored personal responsibility for health among lay persons as dynamic societal values. We sought to explore lay persons’ views on personal responsibility for health using the Fairness Dialogues, a method for lay persons to deliberate equity issues in health and health care through a small group dialogue using a hypothetical scenario. We conducted two 2-h Fairness Dialogues sessions (n = 15 in total) in Nova Scotia, Canada. We analyzed data using thematic analysis. Our analysis showed that personal choice played an important role in participants’ thinking about health. Underlying the concept of personal choice was considerations of freedom and societal debt. In participants’ minds, personal and social responsibilities co-existed and they were unwilling to determine health care priority based on personal responsibility. The Fairness Dialogues is a promising deliberative method to explore lay persons’ views as dynamic values to be developed through group dialogues as opposed to static, already-formed values waiting to be elicited.
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 | 0.129 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.017 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.027 |
| 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 it