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Record W1782134506

Dual Class Shares in Canada: A Historical Analysis

2006· article· en· W1782134506 on OpenAlexaffabout
Stephanie Ben‐Ishai, Poonam Puri

Bibliographic record

VenueeYLS (Yale Law School) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsYork University
Fundersnot available
KeywordsLegislationCorporate lawShareholderOpposition (politics)Context (archaeology)Political scienceLaw and economicsPolitical economyEconomicsLawCorporate governanceFinancePoliticsHistory
DOInot available

Abstract

fetched live from OpenAlex

Dual class shares have been used by Canadian corporations to access public capital markets for the past sixty years. The debates surrounding the regulation of dual class shares have been reenergized. The authors of this article argue that only by looking to the legitimating role of nationalist policy, legislation and discourse in the historical development of dual class share structures can we derive context to the current debates surrounding the regulation of dual class shares and obtain a fuller understanding of the contemporary issues theypresent. Based on an analysis of the use of dual class shares as a financing technique over the past six decades, the central claim made in this article is that the legitimating function of nationalist policies, legislation and discourse provides the most compelling explanation for the persistence of dual class shares in Canada. The authors argue that reliance on policy, legislation and discourse that addressed concerns regarding foreign ownership and domination of Canadian business best accounts for the proliferation of dual class share structures in the 1970s, and their continued use in the current context. Their analysis also explores various themes that have operated alongside or in opposition to nationalist policies, legislation and discourse: the concentration of ownership of Canadian business, the roles of multiple regulators in securities and corporate law, convergence between shareholders and other stakeholders, and rising shareholder activism.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.863

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0090.019
Science and technology studies0.0220.006
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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 designQualitative
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
Published2006
Admission routes2
Has abstractyes

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