Beyond Hierarchy: Investigating the Role of Complex-Fluid Structures in the Accountability of Criminal Organizations
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".