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Record W4256132918 · doi:10.3406/ahrf.2007.3136

Tronchet et la réorganisation constituante des institutions judiciaires

2007· article· en· W4256132918 on OpenAlexaff
Philippe Tessier

Bibliographic record

VenueAnnales historiques de la Révolution française · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicMedieval and Early Modern Justice
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsCompromiseAristocracy (class)Ideal (ethics)LawCode (set theory)SociologyPolitical scienceSet (abstract data type)Law and economicsPoliticsComputer science

Abstract

fetched live from OpenAlex

Philippe Tessier, Tronchet and the Reorganization of Judicial Institutions during the Constituent Assembly . François Denis Tronchet, known for his participation in the Trial of the King and for his contribution to the writing of the Civil Code of 1804, played an important role during the Constituent Assembly in the reorganization of judicial institutions of the Old Regime, notably in the reform of criminal procedure. Though he was soon called the « Nestor of the Aristocracy », he appears at the same time as attached to certain traditions and as an ardent promoter of reform, and as such could be considered as a man of compromise and transition. In fact, Tronchet used the experience he acquired as a lawyer to develop pragmatic solutions, concrete and humane. These solutions for compromise were often inspired by the ideal of moderation, by a defense of equability, and a rejection of barbarity, a repellent concept designing at once the Old Regime and certain foreign practices ; this set of ideas is closely associated with the model of a lawyer, that he incarnates, while rejecting judicial corporate structure.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.844
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.335
Teacher spread0.298 · 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.

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
Published2007
Admission routes1
Has abstractyes

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