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Record W4384561337 · doi:10.1097/as9.0000000000000299

‘Through and Through’ History: The Management of Gunshot Wounds From the 14th Century to the Present

2023· article· en· W4384561337 on OpenAlex
Justin Barr, Walton O. Schalick, Christopher B. Horn, W. Sanders Marble, Shauna Devine, Dale Smith

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Surgery Open · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsWestern UniversityToronto General Hospital
Fundersnot available
KeywordsGUNSHOT INJURYPoliticsMedicineMedical carePolitical scienceHistorySurgeryLawNursing

Abstract

fetched live from OpenAlex

Gun violence killed over 46,000 Americans in 2021; almost 120,000 suffered gunshot wounds. This epidemic has attracted national attention and increasing concern from medical and surgical organizations, as evident in this special issue. 'Through and Through History' explores the surgical management of gunshot wounds from their earliest appearance in 14th-century Europe to the present. Interweaving the civilian and military experience, it details not only the evolution of care directly applied to patients but also the social, political, and scientific milieu that shaped decisions made and actions performed both in and out of the operating room. The article describes how surgeons have pushed the boundaries of medicine and science in each era, developing new therapies for their patients, a historical trend that persists today when such care has the potential to save tens of thousands of lives each year.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.264
GPT teacher head0.378
Teacher spread0.113 · 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