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Record W2911163197

Placing Vulnerability at the Centre of Section 15(1) of the Charter: A Case Comment on Inglis V British Columbia (Minister of Public Safety)

2015· article· en· W2911163197 on OpenAlexaboutno aff
Connor Bildfell

Bibliographic record

VenueRevue d'études constitutionnelles · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVulnerability (computing)CharterMeaning (existential)SociologySection (typography)LawOrder (exchange)Vulnerability assessmentPolitical sciencePublic administrationPsychologySocial psychologyComputer securityPsychological resilienceEconomicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

In order to advance substantive equality under the Charter through the section 15(1) framework, Canadian courts should shift towards a vulnerability-centric model that focuses on protecting individuals and groups who experience based on enumerated or analogous grounds. In adjudicating claims under section 15(1), Canadian courts have occasionally invoked the notion of vulnerability.However, the courts have yet to engage in a thorough discussion of the term's meaning and implications across specific contexts. This article explores the meaning and contours of vulnerability and analyzes the prospect ofusefully integrating into the section 15(1) framework. This includes a discussion of how the section 15(1) test as currently formulated falls short, and how the advancement of a juridical theory of can remedy several key shortcomings. This article explores through the lens of Inglis v British Columbia (Minister of Public Safety), examining how a vulnerability-centric model might operate based on lessons learned from Inglis. Four themes of emerge: resource imbalances, dependency, physicaland/or mental condition, and marginalization. This article concludes with the observation that, although the vulnerability-centric model is not without its flaws, its weaknesses are outweighed by its strengths in terms of advancing substantive equality.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.641
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.060
GPT teacher head0.280
Teacher spread0.220 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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