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Record W2781866858 · doi:10.1080/14702436.2017.1417736

Striking a deal on the F-35: multinational politics and US defence acquisition

2018· article· en· W2781866858 on OpenAlex

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.

Bibliographic record

VenueDefence Studies · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsMultinational corporationPoliticsLeverage (statistics)BureaucracyAllianceState (computer science)Political sciencePolitical economyProduction (economics)Public administrationInternational tradeEconomicsLaw

Abstract

fetched live from OpenAlex

Why does joint defence production of advanced weapons systems, which appears like a logical choice at first, become harder for both the primary production state and its allies to manage and justify as the acquisition process runs its course? To answer this question, we analyze the multinational politics of the F-35 JSF with a focus on how secondary states who have bought into the program are affected by domestic politics within the primary production state. We find that US congressional and bureaucratic politics, cuts to US defence spending, and a desire to retain tight control over the program has locked allies into a program with which they have little leverage. Potentially losing the ability to fight along side the US if they don’t follow through, coupled with inter-Alliance pressures, leaves secondary states who are involved with the F-35 program, vulnerable to the whims of US domestic politics.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.079
GPT teacher head0.291
Teacher spread0.212 · 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