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Record W4408942086 · doi:10.5038/1911-9933.18.2.1996

Beyond Hierarchy: Investigating the Role of Complex-Fluid Structures in the Accountability of Criminal Organizations

2024· article· en· W4408942086 on OpenAlexvenueno aff
María Manuela Márquez Velásquez, Rodrigo Moreno

Bibliographic record

VenueGenocide Studies and Prevention · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHierarchyAccountabilityGenocidePolitical scienceLaw and economicsCriminologySociologyLaw

Abstract

fetched live from OpenAlex

Globalization and technological development have led to quick transformations in criminal organizations, adapting to new forms/degrees of control and hierarchy. Existing legal frameworks governing responsibility for atrocity crimes have developed from the experiences of Western (center) countries and their understanding of traditional warfare structures. Thus, peripheral regions have been forced to employ doctrines with weak sociological basis. New and conventional local dynamics inside organizations and their consequential fluidity challenge the applicability of traditional modes of liability when seeking their members’ accountability. This paper inquires about the suitability of two modes of liability under ICL –perpetration through an organization and superior responsibility– in responding to non-hierarchical-fluid organizations in Mexico and Sierra Leone. Three dimensions are stressed: the role of hierarchical organizational structures for accountability, the dynamic nature of authority/control, and the impact of subordinates’ “replaceability”. In this regard, it will study the possibility of jointly applying different modes of liability and/or their reinterpretation to respond to various social contexts.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.729

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 studies0.0000.001
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 head0.050
GPT teacher head0.358
Teacher spread0.308 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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