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Record W2897962461 · doi:10.3138/ijcs.56.2017-0004

English-Canadian Social Science, Humanities, and Law Academic Secondments during the Second World War and Their Contributions to Canadian External Affairs

2017· article· en· W2897962461 on OpenAlexaffvenueabout
Christopher J. T. Hyland

Bibliographic record

VenueInternational Journal of Canadian Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsBow Valley College
Fundersnot available
KeywordsDiplomacyForeign policyLawWorld War IIPolitical sciencePublic administrationSovereigntyPoliticsSociology

Abstract

fetched live from OpenAlex

In this article, I examine how a select group of English-Canadian social science, humanities, and law academics made significant contributions to Canadian foreign policy and diplomacy during the Second World War. Leaving the confines of their universities to work in wartime Ottawa through a formal secondment process, an influential and yet heretofore unrecognized group of seconded academics became key administrators and diplomats working on behalf of the Canadian state in the sphere of external affairs. Aiding a federal civil service short on administrative talent, seconded academics staffed crucially important posts in the Department of External Affairs, Department of Finance, Wartime Prices and Trade Board, and Wartime Information Board. Although permanent officials handled most issues regarded as first rank, the academics analyzed in this article did the heavy lifting in the committees and preparatory deskwork, making strong contributions to those issues of second rank, including the formulation and refinement of Canadian foreign policy. Academics also became both official and unofficial diplomats representing the nation in diverse international fora. During the Second World War, the federal civil service did not have enough personnel to handle all the representational duties, and academics stepped in to fill an important void. Through their work in the international sphere, academics actively sought to forge a new Canadian identity and facilitate a process whereby Canada became less overtly British and more sovereign and independent.

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)0.005
metaresearch head score (Gemma)0.012
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 score0.822
Threshold uncertainty score0.953

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0570.017
Scholarly communication0.0150.003
Open science0.0020.009
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0110.001

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 head0.026
GPT teacher head0.295
Teacher spread0.269 · 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
Published2017
Admission routes3
Has abstractyes

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