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Record W2140240075 · doi:10.7202/039784ar

“Pistol Fever”: Regulating Revolvers in Late-Nineteenth-Century Canada

2010· article· en· W2140240075 on OpenAlexvenueaboutno aff
Blake Brown

Bibliographic record

VenueJournal of the Canadian Historical Association · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentLawLaw enforcementPolitical scienceGun controlEnforcementCriminologySociologyPolitics

Abstract

fetched live from OpenAlex

This paper examines the debates over the regulation of pistols in Canada from confederation to the passage of nation’s first Criminal Code in 1892. It demonstrates that gun regulation has long been an important and contentious issue in Canada. Cheap revolvers were deemed a growing danger by the 1870s. A perception emerged that new forms of pistols increased the number of shooting accidents, encouraged suicide, and led to murder. A special worry was that young, working-class men were adopting pistols to demonstrate their manliness. Legislators responded to these concerns, but with trepidation. Parliament limited citizens’ right to carry revolvers, required retailers to keep records of gun transactions, and banned the sale of pistols to people under 16 years of age. Parliamentarians did not put in place stricter gun laws for several reasons. Politicians doubted the ability of law enforcement officials to effectively implement firearm laws. Some believed that gun laws would, in effect, only disarm the law abiding. In addition, a number of leading Canadian politicians, most importantly John A. Macdonald, suggested that gun ownership was a right of British subjects grounded in the English Bill of Rights , albeit a right limited to men of property.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.250
Teacher spread0.236 · 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.

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

Citations2
Published2010
Admission routes2
Has abstractyes

Explore more

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