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Record W4251237128 · doi:10.1353/can.2012.0012

'Every boy ought to learn to shoot and to obey orders': Guns, Boys, and the Law in English Canada from the late Nineteenth Century to the Great War

2012· article· fr· W4251237128 on OpenAlexvenueaboutno aff
R. Blake Brown

Bibliographic record

VenueCanadian Historical Review · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsAccidentalLawRifleGovernment (linguistics)CriminologyLegislaturePolitical scienceHistorySociology

Abstract

fetched live from OpenAlex

Les armes à feu sont devenues un élément essentiel de la culture des garçons et des jeunes hommes du Canada anglais avant la Grande Guerre. Le sentiment impérialiste ayant cours à la fin du dix-neuvième siècle avait nourri l'intérêt croissant pour la chasse, et ses promoteurs célébraient la valeur du maniement du fusil en suggérant qu'il transformait les garçons en hommes britanniques idéaux. De même, des craintes de voir la jeunesse urbaine se féminiser rendirent populaire l'idée d'organiser des exercices militaires et de leçons de tir. Au même moment, des entreprises commercialisaient avec insistance auprès des jeunes des armes bon marché produites en série, affirmant qu'elles pouvaient leur inculquer de nombreuses vertus. Des entreprises tentèrent aussi de donner à certaines armes un statut de bien de consommation acceptable. L'utilisation d'armes par la jeunesse entraîna certains problèmes sociaux redoutés, incluant des fusillades accidentelles, la destruction environnementale et la militarisation de la jeune génération. Les pouvoirs législatifs ne firent toutefois que de timides efforts pour limiter l'accès aux armes à feu. En 1892 et en 1913, le gouvernement canadien imposa des restrictions sur la vente de certaines armes, mais l'idée communément admise qu'il y avait des armes acceptables pour la plupart des garçons et des adolescents fit en sorte que ces mesures furent rarement appliquées.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.301
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.210
Teacher spread0.196 · 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
GenreCommentary

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

Citations3
Published2012
Admission routes2
Has abstractyes

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Same venueCanadian Historical ReviewSame topicCanadian Identity and HistoryFrench-language works237,207