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Record W2341367679 · doi:10.7202/1035639ar

Classification of Property and Conceptions of Ownership in Civil and Common Law

2016· article· en· W2341367679 on OpenAlexvenueno aff
Barbara Pierre

Bibliographic record

VenueRevue générale de droit · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsFeudalismProperty (philosophy)LawCivil law (Civil law)InstitutionProperty lawCommon lawSociologyFlexibility (engineering)Legal historyComparative lawLaw and economicsPolitical scienceCommercial lawProperty rightsEpistemologyPhilosophyEconomicsPoliticsManagement

Abstract

fetched live from OpenAlex

This paper examines the classification of property in common law and civil law, by contrasting the conceptions of ownership in each tradition. The author aims to provide a comparative analysis of the fundamental concepts and institutions of the law of property in each tradition. This is deemed useful, not only for promoting a better understanding of the law of property by jurists in both traditions, but also for enabling the jurist of one tradition, to find his way in the unfamiliar territory of the other tradition. The author demonstrates that ownership in common law—insofar as it exists—is constructed on the ruins of the feudal system. Having been developed in an ad hoc manner from such origins, the law of property is seen to be an amalgam of technical and complex principles, built around institutions which sometimes have archaic features that serve no useful purpose in the present day. The theory of "estates", which is espoused, is however acclaimed for its flexibility, its most celebrated attribute being that invaluable institution, the Trust. Ownership in civil law in contrast, is shown to have developed from the romanisation of the feudal system. The law of property, its principles and institutions, are more systematically and rationally organised. They are therefore more easily assimilated and applied. The theory of absolute ownership which is at its core, is however criticised for being, to some extent, inflexible. Using this historical and conceptual background, the author shows that underneath the façade of similar powers over land in the two traditions, lies fundamental juridical differences in the nature and characteristics of the institutions—even those bearing the sames names.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0040.034
Scholarly communication0.0120.018
Open science0.0020.004
Research integrity0.0020.002
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 head0.041
GPT teacher head0.289
Teacher spread0.248 · 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 designTheoretical or conceptual
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

Citations10
Published2016
Admission routes1
Has abstractyes

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