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Record W4411585679 · doi:10.29173/alr2837

The Coherence of Constructive Takings: A Response to Peter Wills

2025· article· en· W4411585679 on OpenAlexvenueaboutno aff
Kerry Sun

Bibliographic record

VenueAlberta Law Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicProperty Rights and Legal Doctrine
Canadian institutionsnot available
Fundersnot available
KeywordsConstructive trustConstructiveCoherence (philosophical gambling strategy)LawLaw and economicsSociologyPolitical sciencePhysicsComputer scienceQuantum mechanics

Abstract

fetched live from OpenAlex

In a recent article, Peter Wills advances provocative claims regarding the Supreme Court of Canada’s elucidation of constructive takings doctrine in Annapolis Group Inc. v. Halifax Regional Municipality (Annapolis). This article responds to four key claims in Wills’ critique. First, it argues that the Annapolis judgment adheres to, and indeed exemplifies, the traditional method of common law adjudication. Second, it contends that a claim for compensation for a constructive taking is properly classified as a private law action, specifically, a tort. Third, it rebuts Wills’ allegation that the action is untenable and incoherent when evaluated as a species of tort. Fourth, it concludes that Wills fails to substantiate his criticisms of constructive takings doctrine and that legislative intervention to abolish the action would not make the common law more coherent. In truth, the critique is founded upon a mechanical, Benthamite model of the common law, whereas the Annapolis judgment is faithful to the classical approach to common law adjudication and its robust, juridical conception of coherence.

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)0.023
metaresearch head score (Gemma)0.038
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 score0.062
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0140.066
Scholarly communication0.0120.012
Open science0.0030.007
Research integrity0.0240.025
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.329
Teacher spread0.314 · 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
Published2025
Admission routes2
Has abstractyes

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