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Record W7128228888 · doi:10.3138/ccar_v9i1_213

Judicial Consideration of us Proceedings in Canadian Class Action Settlement Approvals

2013· article· en· W7128228888 on OpenAlexaboutno aff
Barry Glaspell, Rachael Belanger

Bibliographic record

VenueCanadian Class Action Review · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)Class actionHuman settlementAction (physics)Class (philosophy)

Abstract

fetched live from OpenAlex

In Canada, class action settlement approvals require that a court find that the settlement is fair and reasonable with respect to the settlement class as a whole. In some instances, due to a lack of factually comparable cases in Canada, but where there is a nearly identical proceeding in the US, the courts will look to the similar US settlement to aid in determining the fairness and reasonableness of the Canadian settlement. Reviewing a selection of judicial decisions regarding Canadian settlement approvals, this article draws some conclusions on the use of American settlements in Canadian approvals. Generally speaking, where the court is satisfied that Canadian counsel were aware of and took into consideration the American settlement and where the Canadian settlement amount is roughly in line, proportionally, to the US settlement, a finding of fairness and reasonableness is more likely.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.671
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.043
GPT teacher head0.275
Teacher spread0.232 · 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.

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
Published2013
Admission routes1
Has abstractyes

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