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Record W2976721581 · doi:10.7202/1063727ar

Le regard du Special Committee on Un-American Activities (commission Dies) sur l’extrême droite américaine entre 1938 et 1944 : les cas du German-American Bund, des Black Shirts Legion, du Ku Klux Klan et du révérend Coughlin*

2019· article· fr· W2976721581 on OpenAlexvenueno aff
Maxime Wingender

Bibliographic record

VenueBulletin d histoire politique · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Le 26 mai 1938, le Congrès américain crée le Special House Committee on Un-American Activities (SCUAA), mieux connu sous le nom de Commission Dies. De 1938 à 1944, le SCUAA a le mandat d’enquêter sur la subversion antiaméricaine d’extrême droite et d’extrême gauche. En nous appuyant sur les rapports du SCUAA, les archives personnelles de Martin Dies et certains journaux de l’époque, notamment, nous proposons d’analyser le regard de cette commission d’enquête sur les mouvements d’extrême droite américains. À cet effet, nous nous pencherons sur quatre cas en particulier, soit ceux du German-American Bund, des Black Shirts Legion italo-américaines, du Ku Klux Klan et du père Charles E. Coughlin. Le texte qui suit tend à démontrer que la perception de la commission Dies à l’égard des organisations extrémistes n’est pas uniforme, ce qui nous incite à avancer que le regard « antiaméricain » à l’endroit de la droite radicale américaine est surtout le fait de l’influence étrangère, soit celle du nazisme et du fascisme.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.123
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.009
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.266
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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