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Record W3021024861

First Steps: Intelligence Analysis in Canada during the Second World War

2020· article· en· W3021024861 on OpenAlexaboutno aff
Alan Barnes

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIntelligence analysisWorld War IIComputer sciencePolitical scienceOperations researchComputer securityEngineeringLaw
DOInot available

Abstract

fetched live from OpenAlex

At the outset of the Second World War decision-makers in Ottawa were entirely dependent on the United Kingdom for finished intelligence on foreign military and political developments. During six years of war the intelligence work carried out in Canada expanded in several areas, and included a growing capacity to carry out intelligence analysis in several fields. An analytic group was established to exploit the mass of detailed information collected by the postal censorship programme. The Department of External Affairs created a small unit that drew on signals intercepts and other sources to assess political issues for senior officials. In the Department of National Defence, the newly-created Joint Intelligence Committee took the first steps in producing strategic intelligence assessments from a Canadian perspective. These developments were all heavily influenced by Canada’s close intelligence relations with the UK and US. A major impediment to the development of an independent analytic capacity, however, was the lack of demand for Canadian-origin intelligence assessments from senior political and military leaders in Ottawa, who continued to look to allies for intelligence to inform national-level decisions.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.898
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.189
Teacher spread0.177 · 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
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
Published2020
Admission routes1
Has abstractyes

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