An empirical and philosophical exploration of clinical practice
Bibliographic record
Abstract
BACKGROUND: Previous empirical work among physicians has led us to propose that clinical practice is experienced by clinicians as an engagement-in-the-clinical-situation. In this study, we pursue our exploration of clinical practice 'on its own terms' by turning to the experience of patients. METHODS: Phenomenological analysis of in-depth individual interviews with 8 patients. RESULTS: We describe the patient experience as a set of three motifs: the shock on the realization of the illness, the chaos of the health care environment, and the anchor point provided by an engaged physician. We draw on Heidegger's notion of solicitude to show that patients are actively ascertaining the physician's engagement in their care. CONCLUSIONS: These findings lead us to question the classical "dual discourse" of medicine that offers a dichotomous account of clinical practice as the addition of care to cure, art to science, humanism to technique, and person to medical case. We found no such distinctions in our empirical investigation of clinical practice. Rather, in our synthesis, practice appears as a unitary experience. The physician's solicitude for the patient entrains engagement in the clinical situation. Moreover, the solicitous, engaged physician constitutes an anchor point for the patient.
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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 | 0.025 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.010 | 0.135 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".