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Record W1996107066 · doi:10.3138/cjccj.53.1.27

L'effet des lois en matière de contrôle des armes à feu sur les homicides au Canada, 1974–2004

2011· article· en· W1996107066 on OpenAlexaffvenueabout
Étienne Blais, Marie-Pier Gagné, Isabelle Linteau

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHomicideLegislationPolitical scienceGun controlLawPoison controlHumanitiesSuicide preventionArtMedical emergencyMedicine

Abstract

fetched live from OpenAlex

Bills C-51 (1977), C-17 (1991), and C-68 (1995) were enacted into law by the Government of Canada with a view to tightening controls on firearms in order to prevent homicides related to their use. The effectiveness of these laws has fuelled several debates on the political scene. Given the many limitations of assessments conducted to this day, the credibility of their results is often questioned. Using a multiple-time-series design, the purpose of this article is to assess the impact of the three most recent Canadian gun control laws, all the while overcoming the limitations identified in the scientific literature. Our results show that the enactment of Bills C-51 and C-68 was followed by a significant drop in the number of homicides committed with a firearm, a decrease of 5% to 10%, depending on the province. This reduction was most noticeable in the case of homicides committed with a shotgun or a hunting rifle. No tactical displacement was observed. Finally, results suggest that the effectiveness of these laws is due to the reduced access and availability of firearms rather than to the severity of sentences provided in the legislation.

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)0.004
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.166
GPT teacher head0.326
Teacher spread0.160 · 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; both teacher heads agree on what is shown here.

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

Citations12
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénaleSame topicGun Ownership and Violence ResearchFrench-language works237,207