American physicians and dual loyalty obligations in the "war on terror"
Bibliographic record
Abstract
BACKGROUND: Post-September 11, 2001, the U.S. government has labeled thousands of Afghan war detainees "unlawful combatants". This label effectively deprives these detainees of the protection they would receive as "prisoners of war" under international humanitarian law. Reports have emerged that indicate that thousands of detainees being held in secret military facilities outside the United States are being subjected to questionable "stress and duress" interrogation tactics by U.S. authorities. If true, American military physicians could be inadvertently becoming complicit in detainee abuse. Moreover, the American government's openly negative views towards such detainees could result in military physicians not wanting to provide reasonable care to detainees, despite it being their ethical duty to do so. DISCUSSION: This paper assesses the physician's obligations to treat war detainees in the light of relevant instruments of international humanitarian law and medical ethics. It briefly outlines how detainee abuse flourished in apartheid South Africa when state physicians became morally detached from the interests of their detainee patients. I caution U.S physicians not to let the same mindset befall them. I urge the U.S. medical community to advocate for detainee rights in the U.S, regardless of the political culture the detainee emerged from. I offer recommendations to U.S physicians facing dual loyalty conflicts of interest in the "war on terror". SUMMARY: If U.S. physicians are faced with a conflict of interest between following national policies or international principles of humanitarian law and medical ethics, they should opt to adhere to the latter when treating war detainees. It is important for the U.S. medical community to speak out against possible detainee abuse by the U.S. government.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".