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Record W1915472564 · doi:10.7202/1029355ar

Les violences motivées par la haine. Idéologies et modes d’action des extrémistes de droite au Canada

2015· article· fr· W1915472564 on OpenAlexaffvenueabout
Maxime Bérubé, Aurélie Campana

Bibliographic record

VenueCriminologie · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversité LavalUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Bien que les violences politiques soient, depuis le début du siècle, principalement abordées sous l’angle de l’extrémisme islamiste, les crimes motivés par la haine existaient au Canada bien avant les attentats du 11 septembre 2001. Notamment, plusieurs groupes d’extrême droite y ont toujours défendu leurs idéologies racistes et fascistes en utilisant différentes formes de violence pour se faire entendre. Cette étude se propose d’explorer ce phénomène par une analyse des principaux modes d’action utilisés et thèses véhiculées par la commission d’actes de violence haineuse en sol canadien entre 1977 et 2010. L’approche méthodologique mixte s’appuie sur un total de 214 crimes haineux répertoriés pendant la période étudiée. Les résultats démontrent, d’une part, une forme de traditionalisme dans les modes d’action choisis et, d’autre part, une relation inversement liée entre la fréquence des idéologies mises en cause et la gravité des modes d’action utilisés.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.001
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 head0.539
GPT teacher head0.441
Teacher spread0.098 · 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 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

Citations8
Published2015
Admission routes3
Has abstractyes

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