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Record W4405398282 · doi:10.1080/01436597.2024.2433698

Behind the trigger: democracy, neoliberalism, and civilian militarism in Latin America

2024· article· en· W4405398282 on OpenAlexaff
Saul M. Rodriguez

Bibliographic record

VenueThird World Quarterly · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMilitarismNeoliberalism (international relations)Latin AmericansDemocracyPolitical sciencePolitical economyEconomic historyDevelopment economicsPoliticsSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

The relationship between liberalism and militarism continues to spark debate, especially regarding the impact of neoliberalism. While ­militarism is often seen as a threat to democracy, it can paradoxically enhance state capacity when strategically employed within radical political projects. This paper presents a comparative analysis of Argentina, Costa Rica, Venezuela and Colombia from 1982 to 2004, examining the interplay of political, military and economic networks of power. Using the concept of ‘civilian militarism’, this study reveals how neoliberal adjustments allowed the rise of civilian authorities that promoted militaristic values, using military actions and norms to pursue political goals in response to crises. It explores how neoliberal policies and transformations, sometimes compounded by contradictions surrounding the illegalisation of hard drugs, opened space for the emergence of radical political projects. This deterioration, coupled with weak political or civil society activism allowed militaristic leaders to rise with the intention of addressing the troubled times in some countries more than others. By offering a macro-historical comparative perspective, this paper demonstrates how neoliberalism, and the limitations of civilian and political actors, in some countries pave the way for the emergence of civilian militarism, which, if not contained, can lead to authoritarianism.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.299
Teacher spread0.285 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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