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Record W7055598163

Budget Restraint and Military Expenditures in NATO Countries: A Review of the Literature

2015· report· en· W7055598163 on OpenAlexfundno aff

Bibliographic record

VenueCarleton University's Institutional Repository (MacOdrum Library, Carleton University) · 2015
Typereport
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsnot available
FundersMinistère de la Défense NationaleGovernment of Canada
KeywordsNucleofectionCircumstantial evidenceArticular cartilage damagePretextWork (physics)Gloom
DOInot available

Abstract

fetched live from OpenAlex

The broad purpose of this report is to review the academic and scientific literature on the factors affecting the quantity and quality of expenditures on defence by members of a military alliance. The motivation for the study is the expectation that countries in the North Atlantic Treaty Organization (NATO) will be facing budget constraints that will impinge on their contributions to collective security. In addition there has been an increasing tendency to rely on “coalitions of the willing” as the dominant organizing framework for recent military missions undertaken by several NATO members outside the European theatre. This evolving strategic environment suggests that NATO member countries may face pressures to rebalance military force structure and procurement in order to meet changing priorities. Specifically, some countries may potentially wish to alter the relative emphasis that they place on national (“private”) and alliance (“public”) military objectives. In addition, engagement in relatively more offensive missions out of the traditional NATO theatres of operation may also generate pressure to rebalance military forces accordingly. 
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\nThis literature review is structured in the following manner. Section 2 will examine the literature on military alliances and identity insights relevant for the current review. Section 3 will examine more specific examinations of the production and supply of military goods, while a fourth section focuses on the demand side. A concluding section will identify the key lessons that emerge from the review.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0020.002
Research integrity0.0010.001
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 head0.012
GPT teacher head0.205
Teacher spread0.193 · 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
Published2015
Admission routes1
Has abstractyes

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