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Record W2766944023 · doi:10.5334/sta.543

Demobilising and Disengaging Violent Extremists: Towards a New UN Framework

2017· article· en· W2766944023 on OpenAlexvenueno aff
Joanne Richards

Bibliographic record

VenueStability International Journal of Security and Development · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
Fundersnot available
KeywordsDisarmamentDemobilizationViolent extremismCriminologyPolitical sciencePsychologyLawTerrorismPolitics

Abstract

fetched live from OpenAlex

First and second generation programmes of Disarmament, Demobilisation and Reintegration (DDR), are no longer ‘fit for purpose’ in contexts of violent extremism. Recognising this, voices from within the United Nations (UN) system have recently called for the development of a practice framework combining DDR and Countering Violent Extremism (CVE). Drawing on examples from Nigeria and Somalia, this commentary outlines six issue areas where DDR and CVE overlap, and where further operational guidance is required. These issue areas are: safe passage; the handling of seized and captured weapons; risk assessment; the use of deradicalisation programmes; the reintegration of extremist offenders; and the links between DDR and rehabilitation programmes for extremist prisoners.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.354
Teacher spread0.311 · 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 designQualitative
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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueStability International Journal of Security and DevelopmentSame topicTerrorism, Counterterrorism, and Political ViolenceFrench-language works237,207