Women's Decisions to Seek Treatment for the Symptoms of Potential Cardiac Illness
Bibliographic record
Abstract
UNLABELLED: Cardiac disease is the number one killer of Canadian women, and therapies are often highly time dependent. Consequently, understanding the forms of knowledge that women draw upon to understand and interpret their symptoms of a potential cardiac event may be important in relation to efforts to reduce treatment-seeking delay. Data for this grounded-theory study were drawn from in-depth interviews with 16 women who went to one of two emergency departments between June 2005 and June 2006 for the treatment of symptoms indicating potential cardiac illness. The basic social process of maintaining integrity explained the women's interpretations of, and actions in relation to, their symptoms. This paper indicates the findings as they relate to specific forms of knowledge the women used to make decisions about treatment-seeking, including embodied, temporal, rational, and relational ways of knowing. CLINICAL RELEVANCE: The results of this study contribute to the body of knowledge with regard to women's decisions about seeking treatment for the symptoms of potential cardiac illness.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".