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Record W7064817068

A Corrective Justice Account of Building Authority Liability in Canadian Negligence Law

2023· article· en· W7064817068 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsLiabilitySupreme courtMisrepresentationDoctrineTortMandateStrict liabilityPrincipal (computer security)
DOInot available

Abstract

fetched live from OpenAlex

In its decisions in Kamloops v Neilsen and Rothfield v Manolakos, the Supreme Court of Canada adopted a policy-driven justification for imposing liability on building authorities whenever the negligent exercise of their building regulation mandate led to any member of the public suffering any form of foreseeable loss. From its beginnings, this legal doctrine was incoherent and unjustified. It has also become an aberration within Canadian law as, beginning with the decision in Cooper v Hobart, the Supreme Court of Canada resiled from its earlier policy-based approach to imposing liability. What is required is a repudiation of the current legal doctrine, and its replacement by a new understanding of building authority liability. This new understanding is based on corrective justice, at a theoretical level, and a rights-based understanding of negligence law, at the doctrinal level. The current basis of building authority liability, with liability arising from the ability to foresee possible future losses, should be replaced by an inquiry into whether a building authority acted in such a way that it assumed responsibility to a particular person and caused that person to shift their behavior in detrimental reliance on that assumption. This new basis for building authority liability is assisted by the recent development within Canadian law of a rights-based understanding of claims for negligent misrepresentation and negligent performance of a service, an understanding that specifically employs the concept of an assumption of responsibility. Adapting this approach to building authority liability will allow it to be coherent both internally and with the wider field of Canadian negligence law.

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)0.008
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 score0.080
Threshold uncertainty score0.578

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0150.021
Scholarly communication0.0070.005
Open science0.0040.003
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0080.001

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 head0.074
GPT teacher head0.345
Teacher spread0.271 · 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
Published2023
Admission routes1
Has abstractyes

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