Discourses of Influence and Autonomy in Physicians’ Accounts of Treatment Decision Making for Depression
Bibliographic record
Abstract
Models of patient-physician decision making are typically framed on a continuum of discourses and practices ranging from patient autonomy to physician paternalism, with the middle ground being occupied by terms such as shared decision making. Critiques of these models center on the gulf between these idealized models and actual practice and on how context influences decision-making practices. In this article I focus on how 11 Canadian family physicians talked about patient-physician decision making in interviews about their diagnostic and treatment practices for depression. I adopt a discursive approach to analyzing extracts from these interviews, and show how these physicians constructed themselves as engaging in acts of professional judgment and persuasion, and patients as having the final say in decision making about treatment for depression. I argue that whether the intertwining of discourses of physician influence and patient autonomy is understood as a balance of power between physicians and patients is an open question.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".