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Record W2406468589 · doi:10.1080/11926422.2016.1144213

Army culture(s)

2016· article· en· W2406468589 on OpenAlexaboutno aff
Peter Kasurak

Bibliographic record

VenueCanadian Foreign Policy Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsBureaucracyGovernment (linguistics)Competition (biology)Political scienceState (computer science)Public administrationLawPublic relationsPolitics

Abstract

fetched live from OpenAlex

There is little doubt that culture is the “secret sauce” that allows some armies to perform at a remarkably higher level than others. However, soldiers are not only members of an army; they are also part of a government bureaucracy and citizens of a state. This paper considers the effect of national, government and army cultures on the Canadian Army during coalition operations of the 1990s and 2000s. The paper argues that as a liberal and relatively non-corrupt country, Canada’s national culture created stresses in coalitions where partner militaries permitted illegal activities and did not respect women soldiers. Canadian government culture affected operations through its lack of experience and concern for military matters and low strategic analysis capacity. Canadian troops were deployed without adequate resources on missions with poorly defined objectives. Canadian Army culture – oriented to mechanized combat operations – supported strong operational performance and effective links with American, British and French partners. However, it created great internal stresses in stability operations where soldiers witnessed atrocities but could not intervene. The paper questions whether current levels of cultural training within the Army can be effective given competition with other training requirements and the short duration of field assignments.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.287
Teacher spread0.264 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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