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Record W2606998226 · doi:10.3138/gsi.10.2.03

Why Was Benghazi “Saved,” but Sinjar Allowed to Be Lost? New Failures of Genocide Prevention, 2007–2015

2016· article· en· W2606998226 on OpenAlex

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

VenueGenocide Studies International · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGenocidePersecutionPoliticsAction (physics)RhetoricPolitical scienceGovernment (linguistics)PhenomenonCriminologyPolitical rhetoricLawPolitical economyDevelopment economicsSociologyEconomicsEpistemology

Abstract

fetched live from OpenAlex

In this article, I examine legal, political, and cultural reasons behind the genocides in Iraq and Syria of 2007–2015, that decimated the Yezidi communities of Sinjar or Shingal (Şengal/Şingal/Şingar). It is typically argued that failures to prevent genocide occur due to imaginative deficits or fear of a military quagmire. However, I show that atrocities are quickly recognized and sanctioned in some cases, and that substantial resources in terms of international support, military assets, and political rhetoric have been generated in several cases in which groups were less threatened than the Yezidis. To explain the disparate responses to claims of imminent persecution or massacre, I develop the theory of the “Reverse CNN Effect,” in which some tragedies do not receive the requisite attention of the mass media to mobilize action. The phenomenon extends beyond the media to the resolutions and reports of the United Nations and, at times, those of the US government.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.622
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.125
GPT teacher head0.469
Teacher spread0.344 · 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