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Improving Canada’s Anti-Corruption Practices

2020· article· en· W7019964444 sur OpenAlexaboutno aff

Notice bibliographique

RevueeYLS (Yale Law School) · 2020
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueDiverse Perspectives in Modern Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSanctionsGovernment (linguistics)Criminal codeEnforcementIncentiveLaw enforcementPrivate sectorSubpoenaLegislation
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Last fall, a whistleblower accused President Donald J. Trump of committing bribery. In response, the President suggested that the whistleblower might be guilty of treason—a crime technically punishable by death in the United States. To date, the identity of the whistleblower has not been publicly confirmed—despite revelations of the alleged whistleblower’s name in a variety of forums. But a whistleblower in Canada might be even less fortunate. Although Canada ranks highly on anti-corruption metrics, its whistleblower laws leave much to be desired, argues Siavash Vatanchi, the author of a recent law journal article. Vatanchi, a recent law graduate of Western University, urges Canadian lawmakers to improve existing protections and to extend those protections to private sector employees. He argues that Canada could improve its laws by creating a nationwide regulation that protects public and private sector employees equally. He recommends that the government adopt a reverse burden of proof provision that would make it easier for whistleblowers to protect themselves through harassment and retaliation lawsuits. He also suggests that the use of financial incentives for private-sector whistleblowers could encourage people to come forward who would not otherwise do so. Vatanchi argues that the need for these proposed reforms is revealed in the flaws in current law. For example, Canada’s criminal code provides that employers could face criminal sanctions if they retaliate against employees who report illegal activity to law enforcement officers. But Vatanchi argues that this code does little to protect whistleblowers because courts have made the process of obtaining protection under it burdensome. Canadian courts have required private-sector whistleblowers first to exhaust all internal whistleblowing mechanisms before going public. If the company refuses to act, the employee may then go public with the information. The issue Vatanchi has with this requirement is that the criminal code only protects whistleblowers who are retaliated against after reporting to law enforcement officials. Thus, private-sector employees may be legally terminated by going through the steps required to receive the only protection available to them. On the other hand, public-sector employees are protected from retaliation from the moment they bring attention to people “up the ladder.” This disparity leads Vatanchi to conclude that Canada needs a uniform system protecting private-sector and public-sector employees equally. In addition, he argues that a uniform standard would encourage more people in both sectors with valuable information to come forward as it would be clearer when legal protections apply. In addition, Vatanchi suggests that the government adopt a reverse burden of proof provision in the law that would ensure that the protections for potential whistleblowers are legitimate. He argues that it would be easier for employees to bring and succeed on retaliation claims if employers bore the burden of showing that they did not retaliate. Thus, he suggests that such a provision would make employees feel confident enough in their security to come forward with information. Vatanchi argues that, after providing adequate protections to both public and private-sector employees, the Canadian government should go a step further and actually provide positive incentives for whistleblowers to come forward. He explains that in the private sector, the people who may have the most valuable knowledge are often those who have the most to lose. High-paid executives and board members might not see the benefit of coming forward as worth the cost of their high salaries. Although they would be legally protected from retaliation, whistleblowing opens these individuals up to reputational attacks and potential blackballing, Vatanchi explains. Vatanchi recommends that the government supplies financial incentives that would provide private-sector employees with enough of a cushion to feel comfortable coming forward. He suggests that the government could give whistleblowers a portion of the fines levied against companies to make up for the cost of coming forward. In addition, he suggests that a system could be set up that would help whistleblowers with legal fees to ensure they can protect themselves against retaliation when necessary. But Vatanchi recognizes the potential for abuse in such a system. He advocates requirements of a minimum penalty to be levied by the government before any rewards are paid out as a means to deter petty or insignificant complaints. Vatanchi hopes that Canada will continue to be a leader in anti-corruption. He argues that Canada’s commitment to combatting corruption will be enhanced by adopting the proposed changes to whistleblower law. In addition to protecting the public interest by encouraging more individuals to expose corruption, new whistleblower laws could also result in better corporate governance, Vatanchi argues. In turn, the laws could make it so that corrupt activities never happen in the first place.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,911
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,042
Tête enseignante GPT0,246
Écart entre enseignants0,204 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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