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Record W2626817660

Blending Postmodernism with Military Design Methodologies: Heresy, Subversion, and other Myths of Organizational Change

2017· article· en· W2626817660 on OpenAlexvenueno aff
Ben Zweibelson

Bibliographic record

VenueJournal of military and strategic studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsPostmodernismSubversionAppropriationMilitary theoryMilitary terminologySociologyMilitary sociologyPostmodern theatrePolitical scienceMilitary scienceEpistemologyLawSpanish Civil WarMilitary operations other than warPhilosophyPolitics
DOInot available

Abstract

fetched live from OpenAlex

The emergence of postmodern thinking in 21st century military practice, theory, and education is apparent through various international Armed Forces research, debate, and professional development. However, there is yet to exist a single overarching or agreed upon form for a postmodern military methodology, with extensive disagreement over language, form, function, and practical application in war. This essay frames the current debate by proposing an emergent movement termed the ‘postmodern military movement’ that is in conflict with the existing ‘modernist military movement’ well entrenched in most Anglo-Saxon Armed Forces. More significantly, the military appropriation of postmodern social theory invokes subsequent questions of whether the military might forge novel war applications that redefine the larger postmodern movement, or if it will remain untouched. This essay describes the current competing design theories as well as the personal journey of the author as he contributes his own military research and experimentation into the larger military profession for institutional debate and self-reflection.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.293
GPT teacher head0.382
Teacher spread0.089 · 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 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

Citations4
Published2017
Admission routes1
Has abstractyes

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