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Record W4413244051 · doi:10.3138/ccar.v15i2.127

Crown Immunity in Class Proceedings: The Injustice of Barring Institutional Historical Abuse Claims

2020· article· en· W4413244051 on OpenAlexaboutno aff
Emily Leduc Gagné

Bibliographic record

VenueCanadian Class Action Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsnot available
Fundersnot available
KeywordsStatuteLawSovereign immunityLegislationPolitical scienceLiabilityRedressClass actionSupreme courtState (computer science)

Abstract

fetched live from OpenAlex

Abstract: This paper argues that class proceedings are an inappropriate mechanism to right institutional historical wrongs perpetrated by the Crown because the Crown is not in the same legal position as private defendants. The Crown is immune from tort liability unless legislation expressly creates such liability. As a consequence, institutional historical abuse claims arising prior to the enactment of such statutes are often barred. Barring historical abuse claims prevents class proceedings from achieving any of the legislation’s objectives: access to justice, judicial economy, and behaviour modification. Class members are denied access to justice because claims arising before the enactment of Crown liability legislation are barred; judicial economy is not achieved because class members’ claims must be divided by the year they arise, the statute under which they are brought, and the cause of action alleged; and governments are not deterred because present and future taxpayers act as government insurers. Part B of this paper discusses the nature of historical abuse class proceedings against the Crown. Part C examines the law of federal Crown immunity in the context of class proceedings. Part D considers the similar trajectory of provincial Crown immunity and its impact on class proceedings. Part E consists of a case study that begins with a brief history of Indian Hospitals in Canada and then analyzes how both federal and provincial Crown immunity would likely affect the proposed Indian Hospital class proceedings. Finally, Part F proposes out-of-court redress programs as an alternate dispute resolution mechanism for institutional historical abuse.

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 score0.694
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.075
GPT teacher head0.314
Teacher spread0.239 · 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
Published2020
Admission routes1
Has abstractyes

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