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Record W2037850389 · doi:10.1080/09592296.2010.508405

Dr. Omond Solandt and Canada's Approach to Defence Research Diplomacy 1946–1956

2010· article· en· W2037850389 on OpenAlexaboutno aff
Jason S. Ridler

Bibliographic record

VenueDiplomacy and Statecraft · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Science and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsPeacetimeDiplomacyRealmAlliancePolitical scienceCold warPublic administrationLawPolitics

Abstract

fetched live from OpenAlex

During the early Cold War, Dr. Omond Solandt became Canada's leading defence research diplomat. As Chairman of the newly created Defence Research Board, Canada's first peacetime defence research organisation, Solandt established strong ties with Canada's senior allies, Great Britain and the United States, in the realm of military science and technology. His goal was to harmonise Canada's defence research agenda within this informal science alliance and to gain access to Allied scientific knowledge and technology. Solandt's efforts in maintaining strong and co-operative relations with London and Washington are examined, shedding light on the personal nature of Canada's efforts in the realm of defence research diplomacy, including within the controversial realms of biological warfare.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.680

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0250.009
Scholarly communication0.0090.002
Open science0.0020.003
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0120.001

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 head0.039
GPT teacher head0.384
Teacher spread0.346 · 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 designQualitative
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

Citations0
Published2010
Admission routes1
Has abstractyes

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