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Record W4324063740 · doi:10.4324/9781003387763

Understanding the Military Design Movement

2023· book· en· W4324063740 on OpenAlexaboutno aff
Ben Zweibelson

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsMovement (music)AeronauticsHistoryEngineeringArtAesthetics

Abstract

fetched live from OpenAlex

This book explains the history and development of the military design movement, featuring case studies from key modern militaries. Written by a practitioner, the work shows how modern militaries think and arrange actions in time and space for security affairs, and why designers are disrupting, challenging, and reconceptualizing everything previously upheld as sacred on the battlefield. It is the first book to thoroughly explain what military design is, where it came from, and how it works at deep, philosophically grounded levels, and why it is potentially the most controversial development in generations of war fighters. The work explains the tangled origins of commercial design and that of designing modern warfare, the rise of various design movements, and how today’s military forces largely hold to a Newtonian stylization built upon mimicry of natural science infused with earlier medieval and religious inspirations. Why does our species conceptualize war as such, and how do military institutions erect barriers that become so powerful that efforts to design further innovation require entirely novel constructs outside the orthodoxy? The book explains design stories from the Israel Defense Force, the US Army, the US Marine Corps, the Canadian Armed Forces, and the Australian Defence Force for the first time, and includes the theory, doctrine, organizational culture, and key actors involved. Ultimately, this book is about how small communities of practice are challenging the foundations of modern defence thinking. This book will be of much interest to students of military and strategic studies, defence studies, and security studies, as well as design educators and military professionals.

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)0.006
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0080.029
Scholarly communication0.0150.020
Open science0.0020.005
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0190.004

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 head0.287
GPT teacher head0.309
Teacher spread0.022 · 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
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

Citations6
Published2023
Admission routes1
Has abstractyes

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Same topicMilitary History and StrategyFrench-language works237,207