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Record W3121151652

The Role of Corporate Governance in Curbing Foreign Corrupt Business Practices

2015· article· en· W3121151652 on OpenAlexaboutno aff
Poonam Puri, Andrew Nichol

Bibliographic record

VenueeYLS (Yale Law School) · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsnot available
Fundersnot available
KeywordsForeign Corrupt Practices ActCorporate governanceSanctionsLanguage changeMultinational corporationBusinessLegislatureLegislationCorrupt practicesCorporate lawLaw and economicsAccountingLawPolitical scienceEconomicsFinanceEnforcementPolitics
DOInot available

Abstract

fetched live from OpenAlex

The role of corporate and securities laws in addressing foreign corrupt business practices has, to date, received limited consideration. Departing from the substantial literature on the criminal and public law response to international corruption, the authors analyze Canada’s Corruption of Foreign Public Officials Act in comparison with British and American legislation and conclude that the Canadian regime relies too heavily on the use of criminal sanctions and fails to contemplate the role of behaviour modification in its legislative structure. Recognizing that multinational corporations are well placed to identify, expose and prevent corrupt business practices, the authors propose a private law based solution that builds upon the existing corporate governance frameworks of multinational corporations to curtail corruption. Corporate law directors’ duties and securities law disclosure requirements provide legislators with complimentary tools to incentivize the development of internal control mechanisms and facilitate civil claims against corrupt companies.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.047
GPT teacher head0.232
Teacher spread0.185 · 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 designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

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