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Record W3134989279 · doi:10.1080/21647259.2021.1895622

The rule of law, the local turn, and re-thinking accountability in security sector reform processes

2021· article· en· W3134989279 on OpenAlexaff
Timothy Donais, Ahmet Barbak

Bibliographic record

VenuePeacebuilding · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAccountabilityRule of lawArgument (complex analysis)Corporate governancePolitical scienceLaw and economicsState (computer science)Security sector reformPublic administrationLawBusinessPublic relationsSociologyPolitics

Abstract

fetched live from OpenAlex

Despite calls for the development of ‘second-generation’ approaches, security sector reform (SSR) processes in conflict-affected contexts remain dominated by state-centric strategies with weak records of improving security governance or human security. SSR’s current impasse, we suggest, is best captured in the tension between an ongoing commitment to the rule of law and a growing recognition that sustainable peace must be grounded in local traditions and practices. Our argument is that re-thinking the place of the rule of law within SSR as a long-term aspiration, rather than a short-term fix, requires reconsidering accountability in security governance. In contexts where the rule of law is weakly institutionalised, and where myriad forms of security provision co-exist, how (and by whom) can security actors be held accountable? We seek to identify varieties of extra-legal accountability arrangements that exist in conflict-affected contexts, and ways in which external actors may support – without coopting – such arrangements.

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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0000.000
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 head0.025
GPT teacher head0.324
Teacher spread0.299 · 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 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

Citations8
Published2021
Admission routes1
Has abstractyes

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