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Record W4256570080 · doi:10.5937/jrs1801039k

The comprehensive approach to EU crisis management: Contexts, lessons identified, and policy implications

2018· article· en· W4256570080 on OpenAlexaff
Arnold Kammel, Benjamin Zyla

Bibliographic record

VenueJournal of Regional Security · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical scienceCrisis managementMember statesPublic relationsPublic administrationEuropean unionBusinessLawEconomic policy

Abstract

fetched live from OpenAlex

Contemporary military operations take place in complex environments that are populated by multiple civilian and humanitarian actors facing an array of challenging issues that are not precisely 'military' in nature. This has increased the importance of addressing and managing the civil-military interface, particularly that between military and humanitarian organisations. In recognising that their relationship is not harmonious, organisations such as the EU have developed a so-called 'Comprehensive Approach' (CA) to better align the military and civilian responses to fragile states. Surprisingly, the EU's CA has been understudied while its counterparts at NATO and the UN have received much of the attention. This article fills that gap, and shows that although the CA is clearly visible in official EU documents, the EU's practical challenges with implementing and 'living' it remain immense.

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: none
Teacher disagreement score0.718
Threshold uncertainty score0.962

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.049
GPT teacher head0.384
Teacher spread0.335 · 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

Citations10
Published2018
Admission routes1
Has abstractyes

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