Living with chronic illness: the interface of stigma and normalization.
Bibliographic record
Abstract
Traditionally, researchers have studied and interpreted the chronic illness experience through a lens of either stigma or normalization, but rarely both simultaneously. When chronic illness is examined through a stigma lens, the findings tend to focus on the manner in which the individual suffers from the stigma. When it is examined through a normalization lens, the findings tend to articulate the ways in which the individual achieves normalcy despite having a chronic condition. This paper discusses the implications of assuming either of the two perspectives independent of the other. The authors argue that, in order to capture and understand the dynamic and evolving experience of people with chronic conditions, researchers should consider the interdependence of the two perspectives and avoid assumptions that derive from stigma or normalization alone. Considering stigma and normalization aspects of a chronic illness experience, in interaction over time, will facilitate a broader and more accurate understanding of the complex experience of people coping with chronic conditions.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".