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Record W1518689862 · doi:10.21236/ada476348

USAF Relevance in the 21st Century. A First Quarter Team in a Four Quarter Game

2005· report· en· W1518689862 on OpenAlexaboutno aff
Andrew S. Kovich

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Relevance (law)HistoryPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

The rise of terrorism by non-state actors as a primary threat to U.S. national security challenges the relevance of air and space power. This study first looks at the current and foreseeable security environment and identifies weak/failing states as the largest strategic threat to the United States since the Cold War. Next, the paper describes the culture of the U.S. military as a whole and assesses the relevance of the current American way of war to meeting the challenges of the weak/failing state security threat. If the military studied military operations other than war "MOOTW" lessons as much as the combat lessons, they would see that the U.S. has always struggled with winning the peace in operations short of major combat. Third, the author examines how the United States Air Force's preferred way of war coupled with a service bias toward combat flying has manifested itself in a body of doctrine that limits the ability of the service to provide a stronger contribution to the nation. Just as the Air Force balanced the nuclear and conventional force structure in favor of conventional forces, the USAF must now think about tailoring its conventional forces for major combat operations to ones more suitable for MOOTW. Finally, the author provides recommendations for the Department of Defense in general and the USAF in particular, to transform educational and doctrinal thinking to embrace capabilities ready to respond throughout the spectrum of conflict.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.049
GPT teacher head0.259
Teacher spread0.210 · 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
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

Citations0
Published2005
Admission routes1
Has abstractyes

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