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Record W7065280204

Employee Pension Rights and the False Promise\nof Trust Law

2011· article· en· W7065280204 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsFiduciaryPensionTrust lawSupreme courtPension planJurisprudenceLabour law
DOInot available

Abstract

fetched live from OpenAlex

This article explores the jurisprudence of the Supreme Court of Canada on employment pension trusts. I argue that the Court's 1994 decision in Schmidt v. Air Products, which embraced trust law as a tool for resolving pension surplus ownership disputes, held out the promise that courts would use fiduciary principles to shape pension rights for employees and protect those rights against employer self-interest. That promise has failed to bear much fruit. Since Schmidt, the Court has moved away from a conception of trust law as a fetter on employer power towards a flexible conception in which employer trust obligations are defined almost entirely by the terms ofpension documents which those employers have themselves drafted. In the hands of Canadian courts, trust law has failed to operate as an independent source of rights for plan beneficiaries; instead, it has empowered employers to frame and administer plans in accordance with their own interests, even when those interests conflict with those of employee plan members. I argue that the common law offered the courts other choices; the choices they made reflect a commitment to employer pension control as fundamental to the survival of a voluntary employment pension system.

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)0.008
metaresearch head score (Gemma)0.018
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: Empirical · Consensus signal: none
Teacher disagreement score0.404
Threshold uncertainty score0.803

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.029
Scholarly communication0.0100.006
Open science0.0020.004
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.226
Teacher spread0.209 · 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
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
Published2011
Admission routes1
Has abstractyes

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