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Record W3126534921 · doi:10.22215/etd/2019-13625

Hypersonic Glide Vehicles: Implications for Strategic Stability in the Coming Hypersonic Era

2019· dissertation· en· W3126534921 on OpenAlexaff
D. Fergusson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicGuidance and Control Systems
Canadian institutionsCarleton University
Fundersnot available
KeywordsHypersonic speedAeronauticsCruise missileBalance (ability)Aerospace engineeringCold warMissileEngineeringBallistic missilePolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

Hypersonic glide vehicles represent one of the first major strategic weapons developments since the end of the Cold War.These missiles, which are capable of carrying both nuclear and non-nuclear payloads threaten to alter the strategic balance of terror that has kept that great powers at peace since the late 1940's.Whether nuclear or non-nuclear these strategic weapons systems were developed in a strategic environment by the Russians and Chinese to bring increasing parity to their relationship with the United States.Their maneuverability, speed, and altitude make them impervious to ballistic missile defences now and into the near future, ensuring the continued survival of an assured destruction capacity for the three great powers.A stable strategic balance has served as the foundation for peace between the great powers since the advent of mass nuclear weapons; hypersonic glide vehicles foster a stable strategic balance now and into the near future, and as such it should be no surprise that these weapons will most likely be neither controlled nor abandoned by the three great powers.Instead, it is likely these missiles will serve as the new basis for mutually assured destruction and the corresponding strategic stability between the great powers into the coming decades.5 Snyder, "Deterrence and Power."Pg. 163 6 Robert Jervis.The Illogic of Nuclear Strategy.(Ithica, N.Y: Cornel University Press, 1989).Jervis argues that deterrence is technologically determined.The strategies and postures states use to deter adversary are referential to the technology they have.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.034
GPT teacher head0.259
Teacher spread0.225 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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