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Record W3193176833

A Conceptualization of the Human Security Doctrine in the Post-Communist States in the Balkans

2007· article· en· W3193176833 on OpenAlexaboutno aff
Karina Paulina Marczuk

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsConceptualizationDoctrineCommunismHuman securitySecurity studiesPolitical scienceCritical security studiesInternational securityTreatyNational securityEuropean unionPolitical economyEconomic systemSociologyLawInternational tradeNetwork security policyEconomicsComputer scienceCloud computing securityPolitics
DOInot available

Abstract

fetched live from OpenAlex

South and Eastern European post communist countries have for the last few years changed rapidly their national security concepts by including the so-called wide (complex) security theory elements.These non-military aspects of modern approach to the security are developed by the European Union (EU) and the North Atlantic Treaty Organization (NATO).Furthermore, some security experts and researchers state that nowadays a broad approach to security is transforming into a human security theory.The aim of the article is to show the impact of the evolution of the modern security theories towards the development of a human security doctrine in the selected Balkan post-communist states.Moreover, the article attempts to answer the main question: what kind of human security concept (Japanese or Canadian approach) in these post-communist countries will be adopted?Finally, a couple of proposals for the future conceptualization of the security policy in these countries are mentioned.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.037
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.231
Teacher spread0.224 · 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 designTheoretical or conceptual
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
Published2007
Admission routes1
Has abstractyes

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