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Record W3165663175 · doi:10.55016/ojs/sppp.v12i1.68098

NORAD : Remaining Relevant

2019· article· en· W3165663175 on OpenAlexafffundabout
Michael Dawson

Bibliographic record

VenueThe School of Public Policy Publications · 2019
Typearticle
Languageen
FieldComputer Science
TopicAdversarial Robustness in Machine Learning
Canadian institutionsUniversity of Calgary
FundersDirektoratet for UtviklingssamarbeidGovernment of Canada
KeywordsGeographyBusiness

Abstract

fetched live from OpenAlex

The North American Aerospace Defense Command (NORAD) is now over sixty years old and remains one of the principal institutions in both Canada-U.S. defence relations and the bilateral relationship more generally. Through active participation with our more powerful neighbour in the defence of North America in NORAD, Canada achieves key strategic goals: "defence against help" (from the U.S.) and a voice in our own defence. NORAD's missions have evolved with the changing geostrategic and technological contexts but remain centred around aerospace warning, aerospace control against air-breathing threats, including terrorist use of aviation and most recently, maritime warning. Two factors necessitate significant modernisation of NORAD's capabilities. First is the challenge posed by revisionist national policies in Russia, China and the so-called rogue states of North Korea and Iran. The second is the adoption in Russia and to a lesser extent in China of a new generation of precision weaponry including long range, stealthy cruise missiles and bombers, low-yield nuclear weapons and advanced conventional weapons. Russia, in particular, has articulated a doctrine of nuclear use suggesting that nuclear weapons might be used to terminate armed conflicts (through escalation) threatening the Russian homeland and neighbourhood. Both North Korea and Iran are developing long range ballistic missiles and North Korea is now a nuclear weapons power; while neither of these states is irrational, their behaviour could be unpredictable. The ability to blunt coercive strikes directed against North America would be essential to allow time for diplomacy before retaliatory use of force might be politically necessary for a U.S. president. NORAD's existing warning systems and fighter-interceptors are reaching the end of their lives. Their replacement will pose significant policy questions, including choices of technologies, location of sensors, possible public-private partnerships and new or modernised airfields in the Far North of Canada, among others. The Canadian Government in its defence policy statement, Strong, Secure, Engaged, has placed a high priority on replacing the existing North Warning System and the RCAF fighter fleet. Given the bi-national nature of NORAD, Canadian follow through on these commitments will be closely watched in Washington by those charged with homeland defence.

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)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Other
Teacher disagreement score0.557
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.051
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0130.004
Open science0.0030.005
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.5570.410

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 head0.028
GPT teacher head0.301
Teacher spread0.273 · 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.

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
Published2019
Admission routes3
Has abstractyes

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