<i>Profiles in Patient Safety:</i> Authority Gradients in Medical Error
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The term "authority gradient" was first defined in aviation when it was noted that pilots and copilots may not communicate effectively in stressful situations if there is a significant difference in their experience, perceived expertise, or authority. A number of unintentional aviation, aerospace, and industrial incidents have been attributed, in part, to authority gradients. The concept of authority gradient was introduced to medicine in the Institute of Medicine report To Err Is Human, yet little has been written or acknowledged in the medical literature regarding its role in medical error. The practice of medicine and medical training programs are highly organized, hierarchical structures that depend on supervision by authority figures. The concept that authority gradients might contribute to medical error is largely unrecognized. This article presents one case and a series of examples to detail how authority gradients can contribute to medical error, and describes methods used in other disciplines to avoid their potentially negative impact.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 it