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Record W2069933572 · doi:10.1177/0095327x0202800302

Overview: Civil-Military Relations in Central and Eastern Europe in Former Communist Societies

2002· article· en· W2069933572 on OpenAlex
Christopher D. Jones, Natalie Mychajlyszyn

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

VenueArmed Forces & Society · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsCzechCommunismPolitical scienceCivil–military relationsInternal securityPoliticsPolitical economyMonopolyPresidential systemEconomyLawSociologyEconomics

Abstract

fetched live from OpenAlex

This article reviews studies on civil-military relations by David Betz (Russia), Daniel Nelson (Romania and Bulgaria), Natalie Mychajlysyn (Ukraine), Marybeth Ulrich (Czech Republic), and Mark Yaniszewski (Poland and Hungary). All note minimal progress in developing a cadre of civilian defense experts who can end the monopoly of ministries of defense on policymaking. Those states that are candidates for NATO membership have made much more drastic cuts in the size of paramilitary and internal security forces than have Russia and Ukraine. They have also moved toward postures and doctrines based on coalition security policies, which have all but ruled out the internal use of armed force on the model that Milosevic developed in the former Yugoslavia and Tudjman attempted to develop in Croatia. In Russia and Ukraine, the strong presidential systems have at their disposal large internal armed forces that could be available for targeting domestic political opponents or minority groups.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.052
GPT teacher head0.233
Teacher spread0.182 · 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