MétaCan
Menu
← Back to cohort
Record W4411020120 · doi:10.61959/vbjg4051f

L’état actuel de la recherche sur les familles des militaires

2016· report· fr· W4411020120 on OpenAlexaboutno aff
Heidi Cramm, Deborah Norris, Linna Tam‐Seto, Maya Eichler, Kimberley Smith‐Evans

Bibliographic record

Venuenot available
Typereport
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Depuis les années 1990, on assiste à une transformation de la nature, de la fréquence et de l’intensité des opérations militaires. Or, cette transformation a aussi des conséquences sur les familles des militaires canadiens. De fait, le rythme des opérations s’est accentué et celles-ci se succèdent presque en continu, et le rôle du personnel des Forces armées canadiennes (FAC) est passé de « soldats de maintien de la paix à artisans de la paix à guerriers »1. En 2013, le Bureau de l’ombudsman de la Défense nationale et des Forces canadiennes publiait un rapport majeur sur la santé et le bien-être des familles des militaires, sous le titre Sur le front intérieur : Évaluation du bien-être des familles des militaires canadiens en ce nouveau millénaire. Ce rapport mettait en relief le contexte associé à l’évolution des opérations militaires des FAC, le sens à lui donner ainsi que les conséquences qui en découlent, et ce, tant du point de vue des militaires et des vétérans que de leur famille.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.933
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0050.004
Scholarly communication0.0040.008
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0360.004

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 head0.350
GPT teacher head0.338
Teacher spread0.012 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicHistorical Studies and Socio-cultural Analysis→French-language works237,207→