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Record W1577306889

Who Needs Paper Anymore? Rationalizing an Allocation of Government Responsibility for the Transfer of Securities

2007· article· en· W1577306889 on OpenAlexaboutno aff
Gil Lan, Poonam Puri

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationLegislatureGovernment (linguistics)BusinessAccountingLawLaw and economicsEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Canadian federal corporate legislation contemplates that shares will be transferred by endorsement of paper share certificates. These provisions, now found in the Canada Business Corporations Act Part VII, were enacted in the mid-1970s to reflect the then current market practices. However, for the last two decades, the overwhelmingly prevalent commercial practice is to transfer shares by book entries without using paper certificates - such transfers taking place in what is called the indirect holding system. Despite the domination of the indirect holding system, until recently, there have been no legislative provisions addressing this method of transferring securities. Recent specific provincial legislation has addressed this practice by removing responsibility for securities transfers from provincial corporate legislation and placing it within legislation that deals exclusively with securities transfers. However, Canadian federal legislation has yet to respond to the ubiquitous indirect holding system for federal corporations. This paper examines the case law history regarding the current CBCA part VII provisions and outlines the current prevailing methods of transferring securities. It then compares the operation of the CBCA Part VII provisions to general corporate law rationales. The impact of provincial securities legislation on the CBCA is evaluated and future of the CBCA Part VII provisions is analyzed focusing on efficiency concerns. Finally, responses by the Canadian federal government are evaluated and two possible solutions are offered as rational and efficient responses under the current circumstances.

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)0.022
metaresearch head score (Gemma)0.042
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 score0.553
Threshold uncertainty score0.900

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.042
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0100.025
Scholarly communication0.0170.008
Open science0.0030.004
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.228
Teacher spread0.216 · 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
Published2007
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicCorporate Governance and LawFrench-language works237,207