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Record W2130157079

Foreword: Debates Over Group Litigation in Comparative Perspective: What Can We Learn From Each Other

2001· article· en· W2130157079 on OpenAlexaboutno aff
Rowe, David Y. Thomas

Bibliographic record

VenueDuke journal of comparative & international law · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsnot available
Fundersnot available
KeywordsClass actionDamagesEnforcementLaw and economicsLawBusinessEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Modern societies all face in varying degrees the problem of possible liability for actual injuries, and prevention of threatened ones, to large numbers of people, with the injuries resulting from a single event or product or other common cause. 1 The sources of injury or threat can vary greatly-a tragedy such as a hotel fire or airplane crash; widespread distribution and use of a drug or other product such as asbestos, tobacco, or Fen-phen; claimed violations of civil or human rights; environmental pollution; and business practices such as alleged price-fixing, misleading statements affecting values of publicly held securities, insurance overcharges, and violation of consumer protection laws.However parallel the problems, the responses of different legal systems have varied widely among nations, with varying emphases on class actions, group litigation by associations or unions, regulatory enforcement, social compensation schemes, and other approaches.In the United States the class action has for the last third of a century been the most prominent but by no means exclusive mode-and has been a focus of much controversy.2 Only a few other nations have * Elvin R. Latty Professor of Law, Duke University School of Law. 1. Six decades ago, two American legal scholars presciently observed: Modern society seems increasingly to expose men to . . . group injuries for which individually they are in a poor position to seek legal redress, either because they do not know enough or because such redress is disproportionately expensive.If each is left to assert his rights alone if and when he can, there will at best be a random and fragmentary enforcement, if there is any at all.This result is not only unfortunate in the particular case, but it will operate seriously to impair the deterrent effect of the sanctions which underlie much contemporary law.The problem of fashioning an effective and inclusive group remedy is thus a major one.Harry Kalven, Jr. & Maurice Rosenfield, The Contemporary Function of the Class Suit, 8 U. CHI.L. REV.684, 686 (1941).2. For an extensive, recent study of class action issues and illustrative cases in the United States, see DEBORAH R. HENSLER ET AL., CLASS ACTION DILEMMAS: PURSUING PUBLIC GOALS FOR PRIVATE GAIN (2000).

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)0.017
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.023
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.009
Science and technology studies0.0120.043
Scholarly communication0.0230.044
Open science0.0060.006
Research integrity0.0220.021
Insufficient payload (model declined to judge)0.0230.003

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 head0.051
GPT teacher head0.288
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations6
Published2001
Admission routes1
Has abstractyes

Explore more

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