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Record W4306848314 · doi:10.3138/jmvfh-2021-0124

Health differences by entry stream among Canadian Armed Forces officer cadets

2022· article· en· W4306848314 on OpenAlexaffvenueabout
Serena Chin, Samantha Carlucci, Heather J. McCuaig Edge, Diane Lu

Bibliographic record

VenueJournal of Military Veteran and Family Health · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsDepartment of National DefenceQueen's University
Fundersnot available
KeywordsOfficerMental healthBaseline (sea)MedicinePsychologyPsychiatryPolitical scienceLaw

Abstract

fetched live from OpenAlex

LAY SUMMARY This study compared the baseline physical and mental health of officer candidates attending military college and officer training programs (i.e., non-direct-entry officer or non-DEO stream) with those of officers entering through a direct stream (direct-entry officer or DEO stream). Overall, DEO candidates had better health than non-DEO candidates. Female DEO and non-DEO candidates also reported more physical activity than male DEO and non-DEO candidates, and female non-DEO candidates had more symptoms of mental illness than male non-DEO candidates. A better understanding of these groups may lead to opportunities to customize health screening and supports depending on officer entry stream and sex; however, more research is needed to inform policy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.042
GPT teacher head0.366
Teacher spread0.325 · 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.

Study designObservational
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".

Quick stats

Citations0
Published2022
Admission routes3
Has abstractyes

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