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Record W2332451086 · doi:10.15353/whr.v8.70

The Politics of Mythmaking: Foreign Policy in Canadian Federal Elections 1958-1965

2016· article· en· W2332451086 on OpenAlexaffvenueabout
Kristopher Kinsinger

Bibliographic record

VenueWaterloo Historical Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMythologyForeign policyScholarshipPoliticsHistoriographyRhetoricLife spanPolitical scienceStyle (visual arts)HistoryPublic administrationLawClassicsTheologyMedicinePhilosophyGerontology

Abstract

fetched live from OpenAlex

<span style="font-family: Calibri, sans-serif;">The notion of a Canadian foreign policy “golden age” during the decades following the Second World War has shaped how Canadians have come to view their country’s place in the world. While recent historical scholarship has laudably done much to demonstrate how the idea of a Canadian diplomatic “golden age” is ultimately an exercise in mythmaking, historians have done comparatively little to assess when and how this mythological notion became ingrained in Canada’s political consciousness. This paper seeks to begin to fill this gap in the historiography of Canadian politics by analyzing the role of foreign policy in the four federal elections held between 1958 and 1965. This analysis not only reaffirms the mythological status of the “golden age” but also demonstrates how this notion was fuelled by the foreign policy rhetoric of the Liberal Party during Lester B. Pearson’s tenure as leader. </span>

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.183
Threshold uncertainty score0.948

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0120.010
Scholarly communication0.0060.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.021
GPT teacher head0.275
Teacher spread0.254 · 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 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
Published2016
Admission routes3
Has abstractyes

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