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Record W2004801915 · doi:10.7202/1027043ar

Translating Part of France's Legal Heritage: Aubry and Rau on the Patrimoine

2014· article· en· W2004801915 on OpenAlexaffvenueabout
Nicholas Kasirer

Bibliographic record

VenueRevue générale de droit · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsMcGill University
Fundersnot available
KeywordsLawScholarshipSociologyReading (process)Legal culturePolitical science

Abstract

fetched live from OpenAlex

Reading the pages of the 19th century legal treatise written by Charles Aubry (1803-1882) and Frédéric-Charles Rau (1803-1877) on the patrimony has been, for generations, a rite of passage in French legal education. The theory of the patrimony has aptly been described as fundamental for French private law and the account given by Aubry and Rau, however distant it may be from the law in force, should be read by anyone who seeks to understand the French legal mind. Drawing on the English-language civilian vocabulary that is part of Quebec legal culture, the author offers a translation of this text by Aubry and Rau with some commentary on its canonical status in French legal letters. Even in its translated form, it offers a means for the English-speaking reader to encounter a tradition of abstract rationality in legal scholarship that is part of France's legal "heritage" (itself a French patrimoine but in another sense).

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)0.007
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 score0.478
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.012
Scholarly communication0.0090.003
Open science0.0010.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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

Citations8
Published2014
Admission routes3
Has abstractyes

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