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Record W2523429878

A Property Law Reader: Cases, Questions and Commentary, 4th Edition, Preface and Table of Contents

2016· article· en· W2523429878 on OpenAlexaffabout
Bruce Ziff, Jeremy de Beer, Douglas C. Harris, Margaret E. McCallum

Bibliographic record

VenueeYLS (Yale Law School) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of British ColumbiaUniversity of OttawaUniversity of FrederictonUniversity of New BrunswickUniversity of Alberta
Fundersnot available
KeywordsProperty (philosophy)Principal (computer security)Property lawElement (criminal law)LawChoice of lawCommon lawReal propertyLaw and economicsPolitical scienceProperty rightsSociologyComputer scienceEpistemologyPhilosophyConflict of laws
DOInot available

Abstract

fetched live from OpenAlex

Property law — that body of rules which describes and defines relationships between people with respect to things — involves many choices. The choices include determining when it is appropriate and desirable to label something as property or, more accurately, as subject to a relationship between people based in the rules of property law. The choices involve asking questions, including why it is that we create relationships based in property and who should benefit from them. The rules of property law are notoriously difficult and complex, and they frequently appear disjointed and unconnected, but they are not arbitrary. They are based on choices, sometimes made explicitly, other times implicitly, about what is important. One of our principal goals in this collection of property law materials is to emphasize that the making of choices is a necessary, although commonly under-acknowledged, element in creating a regime of property law. We have made a choice to highlight what Margaret Davies has described as ‘‘asking the why question”. This involves using materials that prompt not only an investigation of the rules of property law but also the justifications for those rules. Another choice we have made in compiling this material is to highlight the disparate sources of property law. Excerpts from the decisions of common law courts dominate the page count, and learning to derive the principles and the rules from these decisions is a core element in a common law legal education, but there is much else besides. We have chosen to emphasize Indigenous legal traditions as one of the sources of Canadian property law alongside the civil law tradition in Quebec and the common law tradition (including principles of equity) in the rest of the country. This presents challenges, not the least because the concept or category of property, as it has developed in western legal traditions, sits uneasily with many Indigenous legal traditions. But it is also a useful reminder that the rules governing human relationships with respect to things are not only jurisdictionally, but also culturally and historically specific. The law of property is also to be found in a great diversity of legislative instruments, ranging from city by-laws, through provincial and federal statutes and regulations, to international agreements. These sources are scattered throughout the volume, but using them presents other challenges. Within the Canadian federation, property is primarily a matter of provincial jurisdiction, and the diversity of property regimes among the provinces limits our capacity to delve into the particular statutory framework of any one jurisdiction when producing a set of materials that is relevant across Canadian common law jurisdictions. As a result, we include examples from different jurisdictions and leave it to course instructors to add as much or as little of what is particular to their jurisdictions as they think desirable.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.956
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.029
GPT teacher head0.285
Teacher spread0.256 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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