Imperfect by design: the problematic ethics of surgical training
Bibliographic record
Abstract
There exists in academic medicine a core ethical issue that is seldom pursued: trainees are frequently not the best person in the operating room at a given intervention being performed, and yet as a profession we understand a fundamental need to afford them opportunities to perform. Academic centres are traditionally associated with a higher quality of care than non-academic centres, suggesting that practical measures exist within teaching hospitals that effectively mask the clinical discrepancies between trainees and their preceptors. Nonetheless, we are bound by our ethical commitments as physicians to balance the obligations of care with the duty to teach. In order to ethically validate the model of 'surgeon as teacher', we propose that there must be a reconciliation of the tensions between traditional professional values in medicine (which tend towards individualist deontology and the provision of optimal care tailored for each patient) with the constraints inherent in a time-bound utilitarian medical system (in which resources are limited and surgeons are transient). Ultimately, we must consciously accept that ensuring the longitudinal availability of skilled surgeons in society aligns more closely with our core ethical obligations as outlined in the social contract that medical professionals maintain with the general public than does the ethical demand to provide unreservedly individual-focused patient care. It is the duty of individual practitioners, as a necessity of lineage to maintain and fulfil our greater duties to society, to foster deontological relationships where possible within this utilitarian system while accepting short-term imperfection in our practice.
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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 | 0.043 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.012 |
| Insufficient payload (model declined to judge) | 0.001 | 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".