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Record W2285305216

Halliburton II: A Loser's History

2015· article· en· W2285305216 on OpenAlexaboutno aff
Adam C. Pritchard

Bibliographic record

VenueeYLS (Yale Law School) · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsClass actionSupreme courtUndoClass (philosophy)LegislatureShareholderStatus quoPolitical scienceLawValue (mathematics)Quarter (Canadian coin)Law and economicsBusinessEconomicsFinanceHistoryState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The Supreme Court was presented with an opportunity to bring fundamental reform to securities class actions last term in Halliburton Co. v. Erica P John Fund, Inc.. The Court ducked that opportunity, passing the buck to Congress to undo the mess that the Court had created a quarter century prior in Basic Inc. v. Levinson. Congress's history in dealing with securities class actions suggests that reform is unlikely to come from the legislature anytime soon. The Securities and Exchange Commission appears to be satisfied with the status quo as well. With these institutional actors resisting reform, corporations and their shareholders may resort to self-help in dealing with the cost and distraction created by securities class actions. Paradoxically, resistance to reform of securities class actions may result in self-help measures that eliminate securities class actions-and their deterrent value-altogether.

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.107
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.009
Scholarly communication0.0110.004
Open science0.0010.005
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0200.003

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 head0.033
GPT teacher head0.216
Teacher spread0.183 · 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
GenreOther

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

Citations2
Published2015
Admission routes1
Has abstractyes

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