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Record W4399556050 · doi:10.1080/02722011.2024.2325164

Ronald Gostick, the <i>Canadian Intelligence Service</i> , and the “Paranoid Style” in Postwar Canada

2024· article· en· W4399556050 on OpenAlexaffabout
Asa McKercher

Bibliographic record

VenueThe American Review of Canadian Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsStyle (visual arts)Service (business)PsychologyPolitical scienceHistoryEconomicsEconomyArchaeology

Abstract

fetched live from OpenAlex

This article examines the activities of Ronald Gostick who, in the 1950s and 1960s, was Canada’s leading far-right conspiracy theorist. While active for more than half a century, Gostick rose to prominence in the postwar period, years of great changes in Canadian politics, government, society, and culture. At the far right of political opinion, Gostick had much to say and write about these developments, which he traced to a vast Jewish-led conspiracy to destroy Canadians’ individual freedom and, ultimately, Canada’s supposed Christian heritage. Gostick’s views epitomized what American historian Richard Hofstadter labeled a “paranoid style,” an outlook rooted in conspiracism. What is evident from this study of Gostick’s ideas and activism is that in several areas his extremism differed little from more respectable viewpoints, signifying that the separation between fringe and mainstream opinion is often only a few degrees of difference.

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.680

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.011
Science and technology studies0.0120.017
Scholarly communication0.0090.003
Open science0.0020.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.332
Teacher spread0.300 · 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
Published2024
Admission routes2
Has abstractyes

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