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Record W1499370040

Simple Shelters?: Monitoring Radioactive Fallout Across Canada, 1959–63

2011· article· en· W1499370040 on OpenAlexaffvenueabout
Andrew Burtch

Bibliographic record

VenueCanadian military history · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPolitical scienceHumanitiesRadioactive falloutArtEngineering
DOInot available

Abstract

fetched live from OpenAlex

During the early Cold War, the Canadian government advised the public that they could cheaply build fallout shelters in their homes to protect their families from radiation after a nuclear war. Publicly, the government stayed out of the shelter-building business, citing that the cost was too high. However, from 1959 to the mid1960s, the Canadian Army secretly constructed a network of 2,000 fallout shelters in government buildings: the Nuclear Detonation and Fallout Reporting System. This article explores the origins of this network and the reasons for its decline. Resume : Au debut de la guerre froide, le gouvernement canadien a informe la population qu’elle pouvait construire a faible cout des abris antinucleaires dans leur maison afin de proteger leur famille d’eventuelles retombees nucleaires apres une guerre nucleaire. Publiquement, le gouvernement s’est tenu a l’ecart de la construction de ces abris en affirmant que le cout aurait ete trop eleve pour lui. Cependant, de 1959 au milieu des annees 1960, l’Armee canadienne a secretement construit un reseau de 2 000 abris antinucleaires dans des immeubles gouvernementaux : le Nuclear Detonation and Fallout Repor t ing System (systeme de declaration de detonation nucleaire et d’abris). Cet article explore les origines de ce reseau et les raisons de son declin. Simple Shelters? Monitoring Radioactive Fallout Across Canada, 1959-63

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.251
Teacher spread0.212 · 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

Citations0
Published2011
Admission routes3
Has abstractyes

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