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Record W2623631935

The BCE Blunder: An Argument in Favour of Shareholder Wealth Maximization

2010· dissertation· en· W2623631935 on OpenAlexafffundabout
Patrick Lupa

Bibliographic record

VenueTSpace (University of Toronto) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsArgument (complex analysis)ShareholderMaximizationFinancial economicsEconomicsPositive economicsBusinessMicroeconomicsManagementMedicineCorporate governanceInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

The traditional approach to corporate governance in Canada has centered on shareholders. This model of governance is commonly referred to as shareholder primacy. The shareholder primacy model has recently been rejected by the Supreme Court of Canada in Peoples v. Wise and BCE v. 1976 Debentureholders. This paper will be argued that directors should be required to focus exclusively on increasing shareholder value in the change of control context. It is within the change of control context that shareholders most require fiduciary protection. In addition, the shareholder primacy rule provides an enforceable standard for evaluating the actions of directors. As stakeholders have a variety of mechanisms to ensure that their interests are not disregarded, they are not in need of fiduciary protection. In contrast, shareholders face greater risks, which validate a need to be protected by an exclusive fiduciary duty in the change of control context.

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)0.007
metaresearch head score (Gemma)0.016
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 score0.039
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.024
Scholarly communication0.0050.008
Open science0.0020.004
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.303
Teacher spread0.283 · 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

Citations0
Published2010
Admission routes3
Has abstractyes

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