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Record W6998890373

Beneficial Interests Under the Chattels Real Act

2023· article· fr· W6998890373 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicProperty Rights and Legal Doctrine
Canadian institutionsnot available
Fundersnot available
KeywordsJurisprudenceInterpretation (philosophy)Property (philosophy)Administration (probate law)Economic JusticeAdministration of justice
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the Chattels Real Act of Newfoundland and Labrador and the strict treatment of property interests thereunder. Historical treatment of property interests under the Act had been pragmatic and flexible, however later jurisprudence took a stricter interpretation and restricted the interpretation of beneficial interest under the Act. The author suggests that a review of first principles and jurisprudence supports a broader interpretation of property interests under the Act, which should be followed for the better administration of justice and practical expectations of the people of Newfoundland and Labrador.\nCet article examine la Chattels Real Act de Terre-Neuve-et-Labrador et le traitement strict des droits de propriété qu’elle prévoit. Le traitement historique des intérêts de propriété en vertu de la loi a été pragmatique et flexible, mais la jurisprudence ultérieure a adopté une interprétation plus stricte et a restreint l’interprétation de l’intérêt bénéficiaire en vertu de la loi. L’auteur suggère qu’un examen des premiers principes et de la jurisprudence soutient une interprétation plus large des droits de propriété en vertu de la loi, qui devrait être suivie pour une meilleure administration de la justice et des attentes pratiques de la population de Terre-Neuve-et-Labrador.

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)0.006
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: Other · Consensus signal: Other
Teacher disagreement score0.654
Threshold uncertainty score0.697

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.033
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.045
GPT teacher head0.309
Teacher spread0.264 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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