MétaCan
Menu
Back to cohort
Record W2034803969 · doi:10.1080/13623690308409663

‘War on terrorism’ and deep culture

2003· article· en· W2034803969 on OpenAlexaff
Joanna Santa Barbara

Bibliographic record

VenueMedicine Conflict & Survival · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTerrorismAdversaryMythologyValue (mathematics)Political scienceCriminologyHistoryDevelopment economicsPolitical economySociologyLawComputer securityEconomicsComputer science

Abstract

fetched live from OpenAlex

This article examines the reasons underlying the massive reaction to the terrorist attacks of 11 September 2001 compared with the lack of response to the many thousands of preventable deaths elsewhere daily. It is suggested that the explanation is the 'deep culture' of the United States based on the myth of the frontiersman. The world is divided into winners and losers, good and bad; non-US citizens are of less value as human beings. The only response allowed by this deep culture is striking back at 'the enemy'. The difficulties with this response are discussed and non-violent alternatives considered.

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)0.002
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: none
Teacher disagreement score0.936
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.387
Teacher spread0.310 · 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

Citations3
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueMedicine Conflict & SurvivalSame topicGun Ownership and Violence ResearchFrench-language works237,207