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Record W3006368672 · doi:10.3968/11527

The System Shaping and Standard Path of Easement Rights in Civil Property Code

2020· article· en· W3006368672 on OpenAlexvenueno aff
Yilu Zhang

Bibliographic record

VenueCanadian social science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Environment
Canadian institutionsnot available
Fundersnot available
KeywordsEasementProperty rightsProperty lawLawLaw and economicsBusinessLand lawReal estateReservation of rightsRight to propertyPolitical scienceFundamental rightsLand tenureHuman rightsEconomics

Abstract

fetched live from OpenAlex

Easement Rights is a right designed to promote the use efficiency of Real Properties, but the meaning of land in different legal systems is not fully considered in Property Law of the People’s Republic of China when it follows the Easement Rights system. Therefore, the adjustment scope of Easement Rights system in China is controversial. It is necessary to clarify this before the promulgation of the Easement Rights in Civil Property Code that is being compiled. In order to achieve the above goal, we can draw the following conclusions. First of all, we should change Easement Rights to Real Estate Easements while taking into account the factors such as the legal system of China and the flexibility for social changes, so as to solve the contradiction between the meaning and the system of the object of Easement Rights adjustment. Secondly, it insists that Easement Rights is the right to use the easement directly and specifically, and establishes that the scope of adjustment should not include Real Estate Rights. Moreover, it is necessary to expressly allow the usufructuary to set up easement and increase its own easement, so as to leave room for the easement to play under the current land system of China. Starting from the spirit of regulating civil relations in Property Law, Easement Rights is set up to promote the utilization efficiency of Real Estate, and it is concluded that in the future Property Right system, the Easement Rights system should not only be used for the sake of public interest, but also be used to adjust the situation of no easement.

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)0.007
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 score0.020
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0050.013
Scholarly communication0.0060.007
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.033
GPT teacher head0.240
Teacher spread0.207 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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