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Those Who “Witness the Evil”

2003· article· en· W2087132739 on OpenAlexaboutno aff
Sherene H. Razack

Bibliographic record

VenueHypatia · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsnot available
Fundersnot available
KeywordsPeacekeepingWitnessContext (archaeology)Political ponerologyPolitical scienceWhite (mutation)Order (exchange)PhraseCriminologyLawSociologyHistoryEpistemologyPhilosophyArchaeologyEconomicsLinguistics

Abstract

fetched live from OpenAlex

For the better part of the last decade, Canadian peacekeepers have been encouraged to frame their activities in Somalia, Rwanda, Bosnia, Kosovo and Croatia as encounters with “absolute evil.” Peacekeeping is seen as a moral project in which the North civilizes the South. Using the Canadian peacekeeping context, I reflect on President Bush's use of the phrase “axis of evil” in the New World Order. 1 argue that this phrase reveals an epistemology structured by notions of the civilized (White) North and the barbaric (Racialized) South. These racial underpinnings give the concept of an “axis of evil” its currency in countries of the North.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.017
Scholarly communication0.0080.005
Open science0.0010.008
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0210.004

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 head0.039
GPT teacher head0.341
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2003
Admission routes1
Has abstractyes

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