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Record W3185383467 · doi:10.29173/crossings9

John Boyd and his Gulf War

2021· article· en· W3185383467 on OpenAlexaff
Anthony Gallipoli

Bibliographic record

VenueCrossings An Undergraduate Arts Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsVictoryDoctrineSpanish Civil WarGulf warVietnam WarSwiftMilitary historyGovernment (linguistics)LawPolitical scienceEconomic historyHistoryAncient historyPhilosophyPolitics

Abstract

fetched live from OpenAlex

This paper investigates the critical role that United States Air Force Colonel John Boyd played in the Gulf War of 1991 leading to the Coalition’s swift victory over Iraqi forces. John Boyd’s presentations to U.S government officials several years before the Gulf War would eventually prove to be a critical, if not unheralded moment in the development of the modern American military strategy. Boyd’s theorems about military strategy proved to be revolutionary as one writer has claimed that John Boyd is one of the great military strategists of all time, comparing him to the likes of Sun Tzu and Carl Von Clausewitz. Indeed, Boyd may be partly responsible for injecting the American war doctrine with a fresh perspective following the debacle known as the Vietnam War. Alongside his development of a modern doctrine of war, Boyd was responsible for helping develop the F-15 and F-16 aircrafts. Clearly, the efforts of Colonel Boyd played an important role in the revitalization of the American war machine.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.997

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 studies0.0040.001
Scholarly communication0.0010.001
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 head0.035
GPT teacher head0.310
Teacher spread0.274 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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