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Record W1981953899 · doi:10.7202/1017518ar

Private Rights to Public Property: The Evolution of Common Property in Canada

2013· article· en· W1981953899 on OpenAlexaffvenueabout
Sarah E. Hamill

Bibliographic record

VenueMcGill Law Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnalogyPublic propertyPrivate propertyProperty (philosophy)Supreme courtProperty rightsJurisprudenceLaw and economicsProperty lawGovernment (linguistics)Intangible propertyCommon lawPolitical scienceCommon propertyLawSociologyPhilosophy

Abstract

fetched live from OpenAlex

This article uses the recent Occupy litigation of Batty v. City of Toronto to argue that Canadian courts no longer have a robust understanding of common property and its attendant rights. The lack of judicial understanding of common property is hardly surprising given property theory’s focus on private property, particularly individual private property. This article argues that rather than use the traditional analogy of governments holding common property in trust for the public, Batty relies on an analogy of common property which treats the government as an owner. The emergence of the latter understanding of common property can be traced to Supreme Court jurisprudence from the early 1990s. Although the government-as-owner analogy of common property was introduced in a concurring judgment, more recent Supreme Court decisions have since reiterated the analogy. Such an understanding of common property is a clear attempt to force all property into a private property model and emphasize the rights of owners above all other rights in property. This article argues that the government-as-owner analogy is problematic given its emphasis on the government’s use of property rather than the public’s benefit from common property and calls for a return to the trust analogy of common property.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.212
Threshold uncertainty score0.914

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0300.025
Scholarly communication0.0130.006
Open science0.0020.005
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0080.000

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 head0.027
GPT teacher head0.253
Teacher spread0.226 · 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 designQualitative
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
Published2013
Admission routes3
Has abstractyes

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