The Curious Case of the De-ICD: Negotiating the Dynamics of Autonomy and Paternalism in Complex Clinical Relationships
Bibliographic record
Abstract
This article discusses the response of our ethics consultation service to an exceptional request by a patient to have his implantable cardioverter defibrillator (ICD) removed. Despite assurances that the device had saved his life on at least two occasions, and cautions that without it he would almost certainly suffer a potentially lethal cardiac event within 2 years, the patient would not be swayed. Although the patient was judged to be competent, our protracted consultation process lasted more than 8 months as we consulted, argued with, and otherwise cajoled him to change his mind, all to no avail. Justifying our at times aggressive paternalistic intervention helped us to reflect on the nature of autonomy and the dynamics of the legal, moral, and personal relationships in the clinical decision-making process.
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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 | 0.042 | 0.078 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.062 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.010 | 0.022 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".