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Record W1900911969

Weather, Leather, and the Obligation to Disclose: Kerr v. Danier Leather Inc. (c)

2008· article· en· W1900911969 on OpenAlexaffabout
Anita Anand

Bibliographic record

VenueTSpace (University of Toronto) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProspectusObligationContext (archaeology)AppealLawSupreme courtStatutory lawIssuerPolitical scienceStatuteBusinessLaw and economicsEconomicsHistory
DOInot available

Abstract

fetched live from OpenAlex

Is an issuer legally obliged to update its prospectus if a material event occurs following the receipt for the prospectus but prior to the closing of the offering? This is the crucial issue that is addressed in Kerr v. Danier Leather Inc., a case that has been heard at the trial and appeal levels in Ontario and that will be heard in 2007 by the Supreme Court of Canada. In this commentary, we argue that the Court of Appeal decision in the case overlooked crucial aspects of contemporary securities law and policy in holding that there is no obligation to disclose intra-quarterly results that cast doubt on the achievement of an earnings forecast in a prospectus. Further, although the Court of Appeal took into account the business judgment rule, there is no precedent for applying it in the context of an obligation to fulfill statutory disclosure requirements. Ultimately, this is a case in which courts squarely confront the balance between legal obligations imposed on issuers and the expectations of investors in the context of forward-looking information. This issue was not a feature of the disclosure landscape when the Ontario statute was originally enacted and, until this case, had not been litigated in this country. In Part II of this commentary, we explore the difference between material fact and material change and the meaning of section 57(1) of the Securities Act We also examine the policy rationales underpinning section 57(1) and section 130(1); we argue that if one reads these two sections together, changes in material facts as well as material changes must be disclosed if they arise following the issuance of a receipt for the prospectus but prior to the end of the distribution period. The notion of investor protection embedded in the Securities Act is severely undermined if investors are not provided -with information that they would consider to be material" regardless of whether the information is technically speaking a material "fact" or a material "change." In Part III, we turn to examine the business judgment rule: its history and development in Canada. We argue that the business judgment rule is inapplicable in a case such as Danier, which deals with the obligations under securities law to disclose material facts and material changes. We conclude the commentary in Part IV.

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)0.003
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: none
Teacher disagreement score0.129
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0100.008
Scholarly communication0.0060.002
Open science0.0020.001
Research integrity0.0150.008
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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
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
Published2008
Admission routes2
Has abstractyes

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