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Record W2140361229 · doi:10.3138/topia.23-24.77

Canadian and American Cultures of Militarism: Coping Mechanisms in a Military-Industrial-Service-Complex

2010· article· en· W2140361229 on OpenAlexvenueaboutno aff
Carole R. McKenna

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsMilitarismMilitary serviceSocial psychologyCoping (psychology)PerceptionPopulationAutonomyBelief systemPolitical sciencePsychologySociologyPoliticsPolitical economyLaw

Abstract

fetched live from OpenAlex

This paper compares and contrasts the Canadian and American culture of militarism working with the Thomas theorem of belief and consequence. Thomas argued that a belief does not have to be real, but consequences result from a perception of what is real. In a political climate characterized by a culture of highlevel military and service influence, the perception of what is real is generated and conveyed to specific populations. In this paper, the population is predominantly American and Canadian military wives. Socialization, networking, specific information and organizational dominance strengthen a culture for military families who are involved in war deployment. The culture draws strength from a belief system that promotes certain realities. As the military-industrial-servicecomplex becomes more pervasive in the lives of Canadians and Americans, their coping mechanisms develop to accommodate the cultural norm. The leading force in the effort to remove autonomy from soldiers and wives and keep them within a pseudo-reality becomes evident from the coping mechanisms they develop.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.061
GPT teacher head0.315
Teacher spread0.254 · 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 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

Citations2
Published2010
Admission routes2
Has abstractyes

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