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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 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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.002

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 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
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

Explore more

Same venueCrossings An Undergraduate Arts JournalSame topicMilitary History and StrategyFrench-language works237,207