The Physician/Investigator's Obligation to Patients Participating in Research: The Case of Placebo Controlled Trials
Bibliographic record
Abstract
Some authors argue that the ethics of medical care and the ethics of research differ, and that it is a mistake to conflate the two. They propose “that medical research and medical treatment are two distinct forms of activities, governed by different ethical principles.” This raises the question of whether physicians who are also clinical investigators may separate their role as physician from that of researcher when they are involved in clinical trials, thereby avoiding the obligations required in the physician-patient relationship. Miller and Brody suggest that medical training is to blame for what they believe is the physicians’ tendency to confound the obligations of research and practice. “Physician-investigators, after all, went to medical school” they explain. They believe that considering research with patients outside the ethical framework of the physician-patient relationship may be “difficult and threatening” to physicians who have “psychological needs” to consider the ethical obligations flowing from their relationship with their patients.
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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 | 0.337 | 0.668 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.011 |
| 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; both teacher heads agree on what is shown here.
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".