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Record W3161688193 · doi:10.1177/00207020211016476

Communications satellites in Canadian security policy: History and prospects

2021· article· en· W3161688193 on OpenAlexaffabout
Elinor Sloan

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsCarleton University
Fundersnot available
KeywordsGeostationary orbitCommunications satelliteTelecommunicationsSatellitePolitical scienceSpace policyEngineeringLaw

Abstract

fetched live from OpenAlex

This article traces Canada’s early interest in space, before turning to its late 1960s decision to focus on a domestic, commercial/civilian communications satellite system in geostationary orbit and the subsequent decline in Canada’s military space efforts. It then highlights the wake-up call of the 1991 Gulf War, which demonstrated the critical importance of military communications satellites to future operations, and the steps Canada has taken to gain assured access to such satellites in the decades since. The final section outlines recent advances in low Earth orbit satellite communications (LEO satcom) and the ways in which these systems can address shortfalls in their geostationary cousins. Drawing reference to a new international security environment, it concludes that Canada should move expeditiously to incorporate LEO satcom into efforts to address the growing imperative of military satellite communications in the Canadian Arctic.

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)0.003
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.204
Threshold uncertainty score0.923

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.009
Science and technology studies0.0130.011
Scholarly communication0.0100.003
Open science0.0020.002
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0100.000

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 head0.010
GPT teacher head0.282
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2021
Admission routes2
Has abstractyes

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