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Record W2017236535 · doi:10.5206/tjr.2012.1.1.2

Closing Impunity Gaps

2013· article· en· W2017236535 on OpenAlex
Amy Ross, Chandra Lekha Sriram

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTransitional justice review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsImpunityClosing (real estate)Transitional justicePolitical scienceEconomic JusticeCriminologyLaw and economicsSociologyLawHuman rights

Abstract

fetched live from OpenAlex

Violence and human rights violations in putatively internal armed conflicts often involve significant cross-border dimensions. Yet the transitional justice mechanisms that respond to past atrocities have generally been undertaken in national or international institutions and focus primarily on offenses within a single state and primarily by national actors of that state. Despite the proliferation of transitional justice mechanisms, they have generally not been designed or utilized to address transboundary or regionalized abuses. The result has been significant inconsistencies in practice, with some crimes addressed and others ignored, creating zones of impunity. In this article, we explore the relative absence of regional transitional justice mechanisms, and consider how regional approaches have been used to promote conflict resolution and might be used to shape accountability processes as well. Drawing on the experiences of Central America and the Democratic Republic of Congo, we argue that the potential for regional approaches is as yet untested but merits closer consideration.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.031
GPT teacher head0.328
Teacher spread0.297 · 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