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Record W2042316598 · doi:10.1080/11926422.2011.638195

The right debate: airpower, the future of war, Canadian strategic interests, and the JSF decision

2011· article· en· W2042316598 on OpenAlexaffabout
James Fergusson

Bibliographic record

VenueCanadian Foreign Policy Journal · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGovernment (linguistics)PoliticsPolitical scienceSovereigntyOrder (exchange)Joint (building)Public administrationBusinessEngineeringLawFinance

Abstract

fetched live from OpenAlex

The public debate on the government's decision to purchase the F-35 joint strike fighter (JSF) has been dominated by process and cost considerations. Secondary in this debate has been the utility of the F-35 for Canadian sovereignty missions and the F-35's capabilities relative to a range of alternatives, which include unmanned aerial vehicles (UAVs). Explicitly missing is any analysis of the strategic-political considerations that underpin the decision to maintain a multi-role fighter capability. Such considerations, in turn, are driven by assessments of the relationship between airpower and future warfare, and Canadian strategic interests on the world stage, which combined to lead to the F-35 decision. Beneath the surface of the public debate are fundamentally different views about the roles Canada should undertake internationally and in cooperation with its allies. In effect, critics of the F-35 decision are seeking to limit Canadian capabilities in order to limit Canadian options overseas.

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)0.006
metaresearch head score (Gemma)0.018
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: Empirical · Consensus signal: none
Teacher disagreement score0.129
Threshold uncertainty score0.935

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0150.017
Scholarly communication0.0180.007
Open science0.0020.002
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0120.001

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 head0.028
GPT teacher head0.219
Teacher spread0.191 · 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
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

Citations3
Published2011
Admission routes2
Has abstractyes

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