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Record W2766520390 · doi:10.7202/1041542ar

Le mythe de Venise au XVIIe siècle. Perspectives de recherche en littérature française

2017· article· fr· W2766520390 on OpenAlexvenueno aff
Clément Van Hamme

Bibliographic record

VenueCahiers d histoire · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical and Literary Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La République de Venise s’est efforcée, du XVe siècle jusqu’à sa chute, de charger sa puissance politique et commerciale d’une double justification, politique et religieuse. En se servant des légendes orales qui circulaient depuis sa fondation, et en mettant en place une interprétation officielle de sa propre histoire, elle a fabriqué un mythe théologico-politique dont elle est le héros. Au tournant des XVIe et XVIIe siècles, alors que ce mythe atteint l’apogée de son influence chez le plus grand nombre des penseurs politiques européens, des contestations apparaissent, encouragées par les mutations de la méthode historique. Est-ce à dire que le mythe de Venise vit ses dernières heures ? Cet article se propose d’interroger la présence de traces du mythe politique vénitien chez les intellectuels français du XVIIe siècle. Ceux-ci, certes acquis à la lutte de Venise contre les abus politiques de la papauté depuis l’affaire de l’Interdit vénitien de 1606, prirent néanmoins part à un certain renouvellement méthodologique de l’écriture de l’histoire.

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)0.001
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: none
Teacher disagreement score0.117
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.010
Scholarly communication0.0050.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.047
GPT teacher head0.283
Teacher spread0.235 · 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
Published2017
Admission routes1
Has abstractyes

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