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Record W2397146753 · doi:10.1093/milmed/168.11.948

Physician Assistants in the Canadian Forces

2003· article· en· W2397146753 on OpenAlex
Roderick S. Hooker, Kent MacDonald, Rebecca Patterson

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMilitary Medicine · 2003
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsCanadian Armed Forces
Fundersnot available
KeywordsLegislationMilitary medicineMilitary personnelMedicineHealth carePhysician assistantsEconomic shortageNursingMedical emergencyService (business)BusinessPolitical scienceGovernment (linguistics)Law

Abstract

fetched live from OpenAlex

Canada is struggling with burgeoning health care access problems. At the same time, this nation may be overlooking an available resource to help address specific physician shortages. The services of more than 130 physician assistants in the Canadian Department of National Defense are used to off-set and amplify physician services. Their extensive education and training, along with their international experience in war-torn areas, dealing with wounded and ill military personnel, refugees, civilians, epidemics, and other health care problems make them particularly valuable assets. Yet, upon discharge from military service and reentry into the civilian sector, they are left without the legislation and formal recognition as a health care provider that would enable them to use these skills to help improve medical care access. This study provides the first description of the training and activity of Canadian physician assistants.

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)0.002
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.690
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.424
Teacher spread0.358 · 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