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Record W1630851523 · doi:10.21971/p79w2t

Operation “Lifesaver”: Canadian Atomic Culture and Cold War Civil Defence

2008· article· en· W1630851523 on OpenAlexvenueaboutno aff
Frances Reilly

Bibliographic record

VenueCrossing boundaries · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsNationalityPrideSpanish Civil WarHistoriographyCold warGovernment (linguistics)Political scienceHistoryLawProduct (mathematics)PoliticsImmigration

Abstract

fetched live from OpenAlex

On September 28th 1955, the city of Calgary executed one of the only major civil defence evacuation operations in Canadian history. The exercise, Operation “Lifesaver,” was a product of careful planning over a series of months but failed to attract the interest of most Calgary citizens. The operation exhibited both the Canadian government’s concern for civil defence during the 1950s and the desire for civic pride in a decade that favoured a homogenous and functional society. Operation “Lifesaver” was not an accurate representation of a nuclear attack; instead it was a controlled exercise devised to calm the fears of civilians in the face of possible war. Despite the rich primary sources available, Canada’s civil defence experiences during the Cold War remain an allusive topic in Canadian historiography. Operation “Lifesaver” holds a prominent position in Alberta history in an era that defined much of Canada’s nationality and society. This article is the third chapter of my History MA thesis which examines the place of Atomic Culture in Canadian history and the Canadian Cold War experience.

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)0.001
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.906

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0480.024
Scholarly communication0.0100.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.014
GPT teacher head0.235
Teacher spread0.221 · 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

Citations14
Published2008
Admission routes2
Has abstractyes

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