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Record W2331501073 · doi:10.3138/jrpc.16.1.003

Swaggering Savagery and the New Frontier

2007· article· en· W2331501073 on OpenAlexvenueno aff
Barry Stephenson

Bibliographic record

VenueJournal of Religion and Popular Culture · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsnot available
Fundersnot available
KeywordsFrontierAdministration (probate law)Police brutalitySpanish Civil WarLawDoctrineContext (archaeology)CriticismIndignationPolitical scienceHistorySociologyPolitics

Abstract

fetched live from OpenAlex

The “war on terror” launched by the Bush administration in the wake of 9/11 is disturbing for many reasons, not least of which is the brutality with which this war has been carried out. A second feature of the American response to 9/11 to draw fire both at home and abroad is the “cowboy” swagger of President Bush and the Bush administration. A third point of criticism argues that 9/11 offered the Bush administration the perfect excuse to test the doctrine of “preemptive war” as a tool in the extension of American control of territory rich in oil reserves. These three features of the war on terror—its brutality, the cowboyism of the White House, and a context of American empire—are interrelated phenomena, and they are the product, at least in part, of the frontier myth that informs American popular culture and civil religion. The rhetoric, visual, and performative culture of the Bush Administration vis-à-vis the contemporary war of terror has too many resemblances to earlier “wars on savagery” to ignore. There is a new frontier to be conquered, and the Bush administration overtly mythologizes, ritualizes, frames, and sells this new “war” with reference to an earlier one, namely, the Indian wars.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.030
Scholarly communication0.0050.004
Open science0.0000.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.290
Teacher spread0.279 · 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 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

Citations1
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Religion and Popular CultureSame topicTerrorism, Counterterrorism, and Political ViolenceFrench-language works237,207