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Record W2103875295 · doi:10.1503/cjs.024811

The Role 3 Multinational Medical Unit at Kandahar Airfield 2005–2010

2011· article· en· W2103875295 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Surgery · 2011
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsCanadian Armed Forces
Fundersnot available
KeywordsMultinational corporationSoftware deploymentPreparednessMedicineUnit (ring theory)Medical emergencyOperations managementOperations researchManagementEngineeringLawPolitical science

Abstract

fetched live from OpenAlex

In late 2005, Canadian Forces Health Services (CFHS) was tasked with the command of the NATO Role 3 Multinational Medical Unit (R3MMU) on Kandahar Airfield in southern Afghanistan. Preparations drew on past experience and planning. Eight complete hospital contingents were trained and deployed in rotation. Near-reality simulation training was undertaken with the combat brigade, including complete deployment of the field hospital in the exercise area. Standard operating procedures (SOP) were developed and applied by each rotation so successfully that they were adopted by the new command in late 2009. The Canadian period at R3MMU had the highest survival rate ever recorded for victims of war. Lessons learned are being applied among victims of the conflict and trauma. The experience of the R3MMU was used to successfully deploy a hospital as part of the earthquake relief effort in Haiti in 2010.The training protocols and SOP are being applied to disaster preparedness in Canadian civilian hospitals.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.187
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.133
GPT teacher head0.347
Teacher spread0.213 · 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