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Record W4385854842 · doi:10.59962/9780774817523

Canada and Ballistic Missile Defence, 1954-2009

2011· book· en· W4385854842 on OpenAlexaboutno aff
James Fergusson

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2011
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicDefense, Military, and Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBallistic missileAeronauticsMissile defenseMissileAerospace engineeringComputer securityEngineeringComputer science

Abstract

fetched live from OpenAlex

Since the mid-1950s, successive Canadian governments have grappled with the issue of Canada's role in US ballistic missile defence programs. Until Paul Martin's government finally said no, policy-makers responded to US initiatives with fear and uncertainty as they endlessly debated the implications � at home and abroad � of participation. However, whether this is the end of the story remains to be seen. Drawing on previously classified government documents and interviews with senior officials, James Fergusson examines Canada's policy deliberations during five major US initiatives. He reveals that a combination of factors such as weak leadership and a tendency to place uncertain and ill-defined notions of international peace and security before national defence resulted in indecision on what role Canada would play in ballistic missile defence. In effect, policy-makers have failed to transform debates about the issue into an opportunity to define Canada's strategic interests at home and on the world stage. Canada and Ballistic Missile Defense is the first comprehensive account of Canada's response and indecision regarding US ballistic missile defence initiatives, and the implications of this inaction.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.155
Teacher spread0.131 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

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