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Record W2082119099 · doi:10.4000/ahrf.434

Mythes et massacres : reconsidérer la « terreur directoriale »

2001· article· fr· W2082119099 on OpenAlexaff
Howard G. Brown

Bibliographic record

VenueAnnales historiques de la Révolution française · 2001
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Sur la base d’archives inédites du Service historique de l’Armée de Terre, l’auteur étudie la répression judiciaire qui a suivi le coup d’État du 18 fructidor anV. Ses sources mettent à jour notamment le rôle des commissions militaires, le sort réservé à plus de mille individus passés en jugement, les rythmes de cette répression, enfin la composition sociologique du groupe étudié. H.Brown montre non seulement comment le Directoire a eu pour objectif tout à la fois de maintenir l’ordre public et de préserver une certaine stabilité politique, mais aussi comment il a porté ses coups les plus sévères contre tous ceux qu’il estimait être ses réels adversaires politiques et non pas contre les seuls émigrés ou les prêtres réfractaires.

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)0.003
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.170
Threshold uncertainty score0.339

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.015
Scholarly communication0.0070.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.021
GPT teacher head0.245
Teacher spread0.225 · 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
GenreOther

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

Citations6
Published2001
Admission routes1
Has abstractyes

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Same venueAnnales historiques de la Révolution françaiseSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207