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Record W7055280583

Contra Giving Wealth a 'Monopoly of Justice Against Poverty' : Comparative Insights on Public Class Action Funding

2023· article· en· W7055280583 on OpenAlexaboutno aff

Bibliographic record

VenueLund University Publications (Lund University) · 2023
Typearticle
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsClass actionClass (philosophy)Economic JusticePublic fundingAction (physics)Collective actionPublic policyPublic goodControl (management)
DOInot available

Abstract

fetched live from OpenAlex

Funding is central to the viability of a class action regime. Wherever class actions have been adopted, legislators have used an array of design points to shape regimes that facilitate the requisite economic enablers and conditions. Yet one facet that has received insufficient attention in research and reforms is the potential of a public funder to advance collective claims and promote public interests. Drawing on comparative analysis of a Canadian regime, this paper situates third party funding in the ‘access to justice’ paradigm and its broader context, before raising the potential of introducing a public funder for class actions in England and Wales. In so doing, the paper explores the experience of the comparator regime of Ontario and its Class Proceedings Fund as an instructive model of a viable and effective public funder for future reforms in this jurisdiction.

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)0.007
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.389
Threshold uncertainty score0.774

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0120.041
Scholarly communication0.0130.007
Open science0.0020.006
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0090.000

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 head0.068
GPT teacher head0.246
Teacher spread0.178 · 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 designQualitative
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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