MétaCan
Menu
Retour à la cohorte
Enregistrement W7029925854

Managing the Monster

2018· article· en· W7029925854 sur OpenAlexaboutno aff

Notice bibliographique

RevueeYLS (Yale Law School) · 2018
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueRegulation and Compliance Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLegislationStatuteGovernment (linguistics)European unionEncyclopediaFreedom of informationPosition (finance)Relation (database)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

One of President Donald J. Trump’s earliest executive orders, like those of many of his predecessors, was devoted to reducing regulatory burdens. This goal was not exceptional; most developed jurisdictions around the word have similar ambitions. The United Kingdom, for example, has established a policy that calls for eliminating three regulations for every one new regulation—although this policy is not implemented in practice. Canada and Australia have legislation dedicated to reducing regulation. Similarly, the European Union has an entire body devoted to regulatory reduction; related EU guidance notes are over 600 pages long. The question for policymakers is why these various attempts, if they are supposedly necessary, have actually had little to no impact in reducing regulatory overload. Officials in most jurisdictions have some qualms about the growth in the volume of law. In the United Kingdom, the position was highlighted by one of its leading judges, the Right Honorable Sir Brian Leveson, who observed in relation to the encyclopedia of the criminal statutes of England that “more than four times as many pages were needed in Halsbury’s Statutes to cover laws created in the 24 years between 1989 and 2013 than were needed to cover the laws created in the 637 years prior to that.” It is not only the judges who complain. David Cameron, a recent U.K. Prime Minister, explained that “we need to tackle regulation with vigor to free businesses to compete and create jobs, and give people greater freedom and personal responsibility.” He emphasized his desire “to be the first Government in modern history to leave office having reduced the overall burden of regulation, rather than increasing it.” Prime Minister Cameron did not succeed. Meanwhile, laws and regulatory codes around the world continue to expand. There have been innumerable methods adopted to try to cut off at least some of the heads of the regulatory Lernaean Hydra. In the United States there are, of course, not only executive orders but also the Office of Information and Regulatory Affairs. Other jurisdictions have adopted sunset clauses or have occasional deregulatory acts repealing some obsolete law. For example, the U.K. Statute of Marlborough 1267 has been reduced to four chapters, down from 29. The United Kingdom also has an Office of Tax Simplification and a Better Regulation Executive, whose jobs are to make sure law is simpler and shorter. And throughout the world, there are programs of simplification, consolidation and codification, and of pre- and post-legislative scrutiny. But they are ineffective. Lawmakers and regulators everywhere have little attention to spare for revisiting old regulation to simplify it. Since few deregulatory efforts seem to have had much effect, it may be time to explore whether, if there genuinely is excess regulation, there is an alternative approach. It is curious that so much regulation is dedicated to ensuring that professionals who could do harm—such as lawyers, doctors, beauticians and bus drivers—are required to have training and qualifications before they are let loose. Yet politicians and regulators, who may have some experience in the military or in business, rarely—if ever—have training in the principles of lawmaking, alternatives to lawmaking, risk analysis in regulation, cost-benefit analysis in rulemaking, principles of drafting, the law of unintended consequences, the importance of tone in regulation, or the advantages and challenges of codification. And they have to learn about procedural issues on the hoof. Maybe it is time to devise a program of improvement to help lawmakers and regulators provide a better service to the public. This could include not only training—and maybe qualifications, so that no one could stand for office or take a job in regulation without a diploma in lawmaking—but also the swearing of an oath to uphold the principles of honest rulemaking—and maybe to comply with a code of practice. Of course, none of this would be enforceable, nor should it be. But it might work over time to change the mindset of our lawmakers. In 1595, litigant Richard Mylward upset a senior High Court judge in England by setting out his complaint in 120 pages. The judge ordered a hole cut in the middle of the 120 pages, Mylward’s head to be thrust through it, and him to be paraded through the courts as an example—in addition to paying a substantial fine. It seems to have worked.

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,906
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,005

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 Opus0,022
Tête enseignante GPT0,242
Écart entre enseignants0,220 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueeYLS (Yale Law School)Même sujetRegulation and Compliance StudiesTravaux en français237 207