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Record W6987372762

Stuck in Neutral? Reforming Corporate Purpose and Fiduciary Duties

2023· article· en· W6987372762 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsFiduciaryShareholderCorporate lawStakeholderCorporate governanceLegislationLegislatureCompanies ActShareholder resolution
DOInot available

Abstract

fetched live from OpenAlex

After decades of corporate leadership based on shareholder wealth maximization, momentum is now gathering behind a shift towards the recognition of stakeholder interests. However, from voluntary actions by business to changes in soft and hard law, the steps taken thus far have been insufficient to result in meaningful changes. Instead, we are stuck in neutral. A more decisive push is needed to ensure that business contributes to tackling the most pressing societal issues of our times in a substantial and timely manner. The Canadian corporate landscape, although beginning to shift away from shareholder primacy, is still not settled and in many ways has stagnated since the Supreme Court’s decisions in People’s and BCE. The CBCA’s new section 122(1.1) codifies that case law and therefore cannot be expected to provide a new impetus. Drawing from the experience in the United Kingdom, which previously introduced legislation similar to the Canadian reforms, we suggest that more than minor tweaks to corporate law are necessary to achieve meaningful and timely change. Working along with regulation in other areas of the law, corporate law can help transform corporate acts away from a solitary focus on shareholder wealth maximization if it offers mandatory and tailored mandates that guide corporations to prescribed outcomes. We propose therefore legislative changes to re-define corporate purpose more broadly and implement a mandatory system of balancing of shareholder and stakeholder interests by corporate leadership, with an emphasis on protection and advancement of human rights and environmental considerations.

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)0.018
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.054
Scholarly communication0.0140.016
Open science0.0030.007
Research integrity0.0110.011
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 head0.045
GPT teacher head0.303
Teacher spread0.258 · 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 designTheoretical or conceptual
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

Explore more

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