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Record W2122450846 · doi:10.3138/topia.23-24.244

“Come on, let us shoot!”: WikiLeaks and the Cultures of Militarization

2010· article· en· W2122450846 on OpenAlexvenueno aff
Stuart Allan, Kari Andén-Papadopoulos

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsMilitarizationIdeologyWindsorSituatedNormalization (sociology)Media studiesPower (physics)CrewPolitical scienceSociologyLawPoliticsVisual artsArtSocial scienceComputer science

Abstract

fetched live from OpenAlex

This paper explores the controversy generated by the nonprofit WikiLeaks website’s posting of a video documenting the shooting of a group of civilians by U.S. forces situated in a helicopter gunship hovering over a Baghdad neighbourhood. Sparking press attention around the world, the brutal rawness of the black and white footage—compounded by the harrowing exchanges between the air crew recorded on the audio track—proved acutely unsettling to viewers otherwise habituated to routine (effectively sanitized) renderings of the horrors of a warzone. This paper considers the video as an instance where the cultural normalization of militarization was disrupted in ideological terms, thereby threatening to unravel officially-sanctioned relations of communicative power.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.028
GPT teacher head0.317
Teacher spread0.290 · 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 designNot applicable
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

Citations8
Published2010
Admission routes1
Has abstractyes

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