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Record W3041615830 · doi:10.11575/prism/24640

A Canadian Space Odyssey: Canada, the Great Space Powers, and the Space Power Dilemma

2017· dissertation· en· W3041615830 on OpenAlexfundaboutno aff
Kiernan McClelland

Bibliographic record

VenuePRISM (University of Calgary) · 2017
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
FundersCanadian Space AgencyDirektoratet for UtviklingssamarbeidU.S. Air ForceMinistère de la Défense Nationale
KeywordsDilemmaSpace (punctuation)Power (physics)Computer scienceEpistemologyPhysicsPhilosophyQuantum mechanics

Abstract

fetched live from OpenAlex

Canada, despite being the third country to launch an artificial satellite, was unable to develop into a space power commanding a long-term strategic presence in outer space during the Cold War. Whereas the "great space powers" of the period, the United States and Soviet Union, held a dominant position in the space environment, Canada's space power influence declined over the years. By analyzing declassified strategic documents and the strategic literature on space power, and by interviewing members of Canada's national space organizations, this thesis will compare the strategic, political and economic variables of space power to determine why Canada did not maintain space supremacy when compared with the United States and Soviet Union from 1957 to 1991. This thesis concludes that Canada did not develop into a space power during the Cold War because, opposite the great space powers, the country did not have a comprehensive space strategy, political leadership and support, or the economic resources that would allow for the development of a long-term satellite presence.

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)0.002
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.136
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0340.020
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.004
GPT teacher head0.180
Teacher spread0.176 · 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
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
Published2017
Admission routes2
Has abstractyes

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