O fascio, a suástica e a maple leaf : o fascismo no Canadá do entreguerras *
Bibliographic record
Abstract
O objetivo deste artigo é discutir a presença de movimentos fascistas no Canadá, nos anos 30, com ênfase na figura de Adrien Arcand e nas particularidades do caso canadense em confronto com outros países de língua inglesa. Por isso, é especialmente focalizada a questão do Quebec e dos movimentos fascistas baseados na região. Ainda que sejam mencionadas questões gerais em relação aos países anglo-saxões e ao mundo todo, enfatiza-se o contexto canadense e as especificidades desse país, no que tange ao fascismo e à sua capacidade de angariar adeptos e apoios, como também a seu fracasso em atingir o poder.Résumé: Cet article propose une réflexion sur la présence de mouvements fascistes au Canada dans les années 30, et notammentet sur la figure d’Adrien Arcand et les particularités du cas canadien par rapport à d’autres pays anglophones. Bien que le texte mentionne des situations communes aux pays anglo-saxons et à d’autres régions du monde entier, la question centrale qui est mise en relief est celle du contexte canadien et des spécificités de ce pays en ce qui concerne les mouvements fascistes et leur fortune dans cette région.Mots-clés: extrême droite; fascisme; Adrien Arcand.Abstract: The main purpose of this article is to discuss the presence of Fascist movements in Canada in the period between the two world wars, with special focus in the Canadian fascist leader Adrien Arcand and in the Quebec case. Although general discussions regarding the fascism in the Anglo-Saxons countries are present, the Canadian context is stressed.Keywords: extreme right wing; fascism; Adrien Arcand.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.013 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".