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Record W244601112

Corporate Gatekeeper Liability in Canada

2007· article· en· W244601112 on OpenAlexaffabout
Stephanie Ben‐Ishai

Bibliographic record

VenueeYLS (Yale Law School) · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsYork University
Fundersnot available
KeywordsLimited liability partnershipLiabilityStatuteLawContext (archaeology)LegitimacyBusinessMisconductLegal liabilityPolitical science
DOInot available

Abstract

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I. INTRODUCTION A series of significant reforms with respect to the legal treatment of corporate gatekeepers have taken place over the last five years in a number of countries around the world. This article serves as a taking-stock exercise of the current liability regime in Canada, supplemented by an examination of the options for dealing with corporate gatekeepers presented in other jurisdictions, most notably the United States and the United Kingdom. The two primary forms of liability in the Canadian system are civil through both common law and statutes, and administrative found in various regulatory regimes for the different types of gatekeepers. There is also the possibility of criminal or quasicriminal liability for many gatekeepers. This article suggests that the polycentric system in which there are multiple sources of liability for gatekeepers is effective in a Canadian context. While there is an international trend towards increased streamlined government regulation of gatekeepers, as demonstrated in the U.S. and U.K., it is not a system that should be adopted by Canada. Ultimately, though the Canadian system is imperfect, this article concludes that the current Canadian regime is best suited to provide gatekeepers with guidance and incentives to perform their gatekeeping function while facilitating the competitiveness of Canadian capital markets. The key challenges with the current model center on the legitimacy and independence of the sources of liability. For the purpose of this article, corporate gatekeepers are defined as third parties who can disrupt misconduct by withholding support. The categories of corporate considered in this article are directors, lawyers, auditors, underwriters, credit rating agencies (CRAs), financial analysts, and retail investment advisors (RIAs). In this article, liability includes civil, administrative, and criminal sanctions that can be imposed on gatekeepers who fail to withhold support. This includes rules that can be enforced by public regulators and also rules that can be enforced by private parties like investors. The sources of law reviewed are statute (corporate and securities), common law, self-regulatory organizations' (SROs) rules, and rules of professional conduct set by industry bodies. The focus of this article is on gatekeepers of public companies. Part II provides a theoretical framework of corporate through a survey of previous academic writing on the subject. For example, the works of Reinier Kraakman and John C. Coffee Jr. are considered in this section. Part III examines the sources of corporate liability at common law in Canada, including civil statutory and other regulatory regimes such as those put into place by provincial law societies. In Part IV, the author deals with each category of separately and suggests reforms to improve the Canadian system. A comparison with the United States and United Kingdom informs this analysis. Part V concludes. II. CORPORATE GATEKEEPER LIABILITY THEORY In the 1980s, Reinier Kraakman published two articles that expanded on the concept of gatekeeper liability, which he defined as liability imposed on private parties who are able to disrupt misconduct by withholding their support from wrongdoers.1 This support-which might include a specialized good, service, or form of certification that is essential for a wrongdoer to succeed-is the 'gate' that the keeps.2 True liability is designed to enlist the support of outside participants in the firm when controlling managers commit offences; the first requisite for liability is an outsider who can influence controlling managers to forgo offences.3 As outsiders to the firm, these professionals are less likely to risk their reputations over fraudulent or suspicious transactions. Kraakman identified outside directors, accountants, lawyers, and underwriters as potential targets for liability strategies: they each have access to information about firm misconduct, they already perform a private monitoring service on behalf of the capital markets, and they face incentives that differ from those of managers (that is, they are likely to have less to gain and more to lose from firm misconduct than inside managers). …

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.277
Teacher spread0.250 · 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 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

Citations5
Published2007
Admission routes2
Has abstractyes

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