The Experience of Emotional Distress Among Women With Scleroderma
Bibliographic record
Abstract
Emotional distress is common among patients with chronic medical illnesses, but the nature of the distress is not well understood. Our objective was to understand patients' experiences of emotional distress by conducting in-depth interviews using the McGill Illness Narrative Interview with women affected by scleroderma (N = 16). We sought to determine how participants described their distress, what they believed caused it, and how they coped. We analyzed interview transcripts using thematic analysis. Many participants described distress associated with scleroderma, but the term depression was reserved for extraordinary, severe experiences. Instead, participants preferred more normal mood descriptors and often viewed their distress in keeping with the definition of "demoralization." Participants listed concrete symptoms and experiences that caused distress, and some added that stress could exacerbate scleroderma. Participants dealt with distress by not dwelling on their circumstances and working to maintain autonomy. Most preferred to not rely on psychologists and support groups.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".