Notice bibliographique
Résumé
W hen President Bush announced the nomination of Utah governor Michael Leavitt for administrator of the US Environmental Protection Agency (EPA), the immediate response was a confused murmur.Leavitt, the nation's longest-serving governor, has performed admirably for Utah in the last decade, and is popular among his fellow governors.But who is he, and what would he bring to the EPA?The answer may lie in a word you've never heard of.Leavitt is no neophyte to the land-use arena, but is most notable for his views on the environment, which he encapsulates in the term "Enlibra", from the Latin (loosely) for "in balance".The brainchild of Leavitt and former Oregon Governor John Kitzhaber, Enlibra could be called a new vision for protecting air, land, and water.The Salt Lake Tribune also called it a "woozy brew of market-based economics, local empowerment, cost-benefit analyses, collaborative decision making, and incentive-driven processes".Leavitt envisions Enlibra as a way to reach the middle ground between conservationists and industry.In theory, the strategy tries to bring some sanity to environmental issues by balancing conservation and development interests, regulators and the regulated.It holds that big, topdown regulation is inefficient, slow, and expensive, instead favoring state and local control of regulation.This results in more flexibility and participation and less delay -and, say critics, much less conservation.Are these audacious and ambitious goals or so much hot air?Enlibra's guiding principles vary from the bland and obvious to the practical and exciting.All eight involve varying degrees of conflict to implement fully at the national level."National Standards, Neighborhood Solutions -assign responsibilities at the right level."A lot of experts have said that states should take the lead in environmental regulation and enforcement.Enlibra may be stating the obvious, but implementing national standards locally has a nice ring to it.Of course, Congress has written the laws so that state and local responsibility are kept on fairly short leashes."Collaboration, Not Polarization -use collaborative processes to break down barriers and find solutions."The collaborative process is nothing new; the EPA has dozens of outreach programs.Collaboration between some NGOs and companies, though, may be well-nigh impossible.Both camps have valid opinions, and discussion would be better than the current climate of vitriol and lawsuits."Reward Results, Not Programs -move to a performancebased system."This means environmental management should focus on outcomes, not on programs, initiatives, and processes as they tend to do now.Federal, state, and local policies should encourage "outside-the-box thinking" and "solving problems . . .should be rewarded".If this sounds like empty business-speak, you're right.Not a bad thought, though, if it is for real.Only time will tell, but this doesn't seem particularly efficient or timely.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,001 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,559 | 0,302 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».