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Record W4394699684 · doi:10.1353/nib.2023.a924187

The Limits of Our Obligations

2023· article· en· W4394699684 on OpenAlexaboutno aff
Ryan C. Maves

Bibliographic record

VenueNarrative Inquiry in Bioethics · 2023
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsnot available
Fundersnot available
KeywordsNavyMedical emergencyMedicinePopulationOfficerInternational airportIntensive care unitAeronauticsReferralEngineeringLawPolitical scienceFamily medicineEnvironmental health

Abstract

fetched live from OpenAlex

The Limits of Our Obligations Ryan C. Maves Disclaimers. No funding was utilized for this manuscript. Dr. Maves is a retired U.S. Navy officer, and the opinions contained herein are his own. The opinions in this manuscript do not reflect the official opinion of the Department of the Navy, Department of Defense, nor of the U.S. Government. In 2012, I was a commander in the United States Navy, deployed to the NATO Role 3 Multinational Medical Unit in Kandahar Airfield (KAF), Afghanistan. The KAF Role 3 began as a tent hospital under Canadian command, built along the flight line at Ahmad Shah Baba International Airport as [End Page 176] part of an expanding NATO base. By the time of my arrival, it was a small but capable brick-and-mortar building under U.S. Navy command, with four operating rooms, two CT scanners, and a busy intensive care unit (ICU). Not long before my deployment, the KAF Role 3 was described as one of the busiest trauma hospitals in the world. Casualties arrived every day, usually by helicopter. Blast injuries from improvised explosive devices (IEDs) were common, ranging in severity from concussions in passengers in armored vehicles, to multiple amputations from blast injuries with concomitant thoracic, abdominal, and pelvic trauma. KAF had a daytime population of over 30,000 in 2012, and our hospital was effectively the referral center for the region, so patients with non-surgical diagnoses were similarly common: myocardial infarctions, seizures, pulmonary emboli, and endemic infections, to name a few. As an infectious disease (I.D.) specialist, I functioned mainly as a hospitalist, managing patients postoperatively, but I also provided any consultative support when needed. During mass casualty events, the intensivists and I would act as backups in the trauma bay, freeing up the surgeons for the most acutely injured patients. It turned out that an I.D. doctor's skillset lent itself well to acute trauma evaluations; we are well known for having an eye for fine details, combined with low-grade paranoia. These traits served me well during what I came to describe as "my involuntary trauma fellowship." Our patients could be divided into five key groups: Afghan National Security Forces (ANSF, including the army and national police), non-Afghan coalition military (mostly U.S. and other NATO members), Afghan civilians, NATO civilian contract staff, and the Taliban. Our approach to each of these groups was different. For all patient groups, we would provide the same emergency care, including acute resuscitation and immediate life-saving surgery. It was after this emergency care period that our management plans diverged. For coalition forces, our next priority after acute resuscitation and stabilization was to assess whether a patient could remain in theater. Stable patients with relatively minor injuries could often undergo rehabilitation at KAF; many personnel could subsequently return to combat duty with their units. More seriously-injured patients would be transported out of Afghanistan within 24-48 hours (if not faster). Usually, this would involve stops at Bagram Airfield near Kabul and then Landstuhl Regional Medical Center in Germany before reaching a military hospital in their home countries. There were few limits on whom could be transported. Dedicated critical care air transport teams (CCATT) included intensivists, respiratory therapists, and critical care nurses, who could manage the most unstable patients on board what was effectively a flying ICU. The "lung team" in Landstuhl could fly to KAF to start patients with severe respiratory failure on extracorporeal membrane oxygenation (ECMO) and then fly them out on maximal support. NATO civilian contractors would receive comparable care, although the exact details of how they would be transported out of theater would depend on their home countries and the nature of their contract. We cared for one civilian contractor with newly-diagnosed HIV infection whom we were able to stabilize on the ventilator, get him extubated, start on initial antiretroviral therapy, and transport him home with a referral to his local HIV care program. Afghan soldiers were part of the coalition, but there was no distant home country where we could transport them. They were home. After their resuscitations and surgeries, we would arrange transfer to the Kandahar Regional...

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.426
GPT teacher head0.563
Teacher spread0.138 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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