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Record W4210433327 · doi:10.4000/eccs.5143

L’approvisionnement de la défense du Canada : Les projets d’avions de combat dans un monde en mutation

2021· article· fr· W4210433327 on OpenAlexaffabout
Philippe Dumas

Bibliographic record

VenueÉtudes canadiennes / Canadian Studies · 2021
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsÉcole Nationale d'Administration Publique
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Face à la transformation de l’ordre international au cours de la dernière décennie, le Canada prévoit d’augmenter ses dépenses militaires. Néanmoins, l’approvisionnement de la défense demeure un défi lorsqu’il est question d’acquérir les capacités militaires permettant de répondre à ce nouvel environnement sécuritaire. À cet égard, comment cet environnement influence-t-il les projets d’acquisition majeurs de la défense ? L’article vise à retracer les facteurs expliquant l’approvisionnement de la défense à partir d’une approche mécanistique. Bien que l’environnement sécuritaire façonne l’élaboration des besoins, les projets d’avions de combat analysés sont également influencés par différentes considérations politiques au cours du processus d’approvisionnement et par les conditions du marché de la défense.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.019
GPT teacher head0.227
Teacher spread0.208 · 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 designNot applicable
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
Published2021
Admission routes2
Has abstractyes

Explore more

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