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Record W12354772 · doi:10.60082/2817-5069.1035

Addressing the Tension between Directors' Duties and Shareholder Rights - A Tale of Two Regimes

2012· article· en· W12354772 on OpenAlexaffvenueabout
Sean Vanderpol, Edward J. Waitzer

Bibliographic record

VenueOsgoode Hall law journal · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsYork University
Fundersnot available
KeywordsShareholderCorporationStatutory lawCorporate lawBusinessDutyAccountingLaw and economicsLawCorporate governanceEconomicsPolitical scienceFinance

Abstract

fetched live from OpenAlex

There is a basic tension inherent in the regulation of corporations between the role to be played by boards and that to be played by shareholders. Boards have the statutory responsibility to manage the business and affairs of the corporation, and owe an express duty to act in the best interests of the corporation. Shareholders, however, are the ultimate ‘owners’ of the corporation, and have the ability to elect and remove directors. Canadian courts and securities regulators have long struggled with this tension in determining the roles to be played by each in transactions that pose the potential for conflicts between and among boards and shareholders, such as transactions involving controlling shareholders or contested change of control transactions. For a number of reasons the Canadian regulatory regime has developed a shareholder-centric model, which tends to foster an emphasis on process and shareholder rights, and stands in sharp contrast to the American regime and its nuanced approach to director duties. We suggest that the way in which the Canadian regulatory regime has developed has displaced important corporate law concepts, negatively impacting the role to be played by boards and leading to shortcomings that have manifested themselves in a number of recent high-profile cases. Our suggestion is a fundamental reconsideration of policy orientation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.270
Teacher spread0.193 · 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 teacher head, 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

Citations2
Published2012
Admission routes3
Has abstractyes

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