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Record W2906518005 · doi:10.5038/1911-9933.12.3.1572

Straining to Prevent the Rohingya Genocide: A Sociology of Law Perspective

2018· article· en· W2906518005 on OpenAlexvenueno aff
Katherine Southwick

Bibliographic record

VenueGenocide Studies and Prevention · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
FundersNational University of SingaporeGeorge Mason University
KeywordsGenocideObligationCrimes against humanityInternational lawPolitical scienceLawContext (archaeology)ScrutinySociologyCriminologyLaw and economicsWar crime

Abstract

fetched live from OpenAlex

This paper analyzes the generally muted international response to the protracted plight of the Rohingya, a persecuted Muslim minority in Myanmar, from the perspective of sociology of law. The first part provides background on the Rohingya crisis and discusses relevant international legal frameworks relating to crimes against humanity and genocide. The second part adapts analytical frameworks developed by Felstiner, Abel, and Sarat on the emergence and transformation of disputes, in order to examine some of the factors that frustrate the processes of naming crimes, blaming perpetrators, and claiming rights and protection for the Rohingya minority in the international context. Work by Bumiller and Edelman concerning models of legal protection, legal ambiguity, and the mediating effects of symbolic structures of compliance augment the analysis. Ambiguity as to when to apply the terms crimes against humanity or genocide, and the legal and political implications that flow from naming such crimes, feed reluctance to act on the part of states. Related factors constraining effective responses include a lack of a clear, streamlined process for naming crimes, along with weak preventive norms mandating action in the absence of legal certainty. As a result of these conditions, authority diffuses as to which institutions or actors have the power and obligation to name crimes and determine appropriate responses. Competing political and economic considerations obfuscate states’ willingness to engage the issue, and certain organizations and bodies have limited capacity to enforce their prevention and protection mandates or to submit them to external scrutiny. Together, these factors combine to portray a weak institutionalization of remedies, which Miller and Sarat have recognized serves to minimize disputing and limit the probability of success. This sociological approach thus helps to clarify fundamental constraints on and distinguishing characteristics of the international legal system in responding to atrocities.

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 score0.368
Threshold uncertainty score0.890

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 studies0.0010.002
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 head0.072
GPT teacher head0.418
Teacher spread0.346 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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