Notice bibliographique
Résumé
Alcohol: the ubiquitous risk factorThis issue includes four papers that draw attention to one of the most important causes of injury in all age groups and in every part of the world-alcohol.In particular, the papers address impaired drivers.The first is an original article pointing to the benefits of laws that penalize drivers whose blood alcohol content (BAC) exceeds 0.08% by weight (p 109).In view of the growing evidence to which this paper adds substantially, it is diYcult to understand why so many constituencies tolerate higher limits.It is even more diYcult to fathom why, whatever the limits, more impaired drivers are not apprehended or, when they are, why they are not punished more severely.These issues are addressed in the second paper-one that we hope will be the first of many written by from a lawyer's perspective (p 96).The senior author, Robert Solomon, is the legal advisor to the Canadian branch of Mothers Against Drunk Driving (MADD).Although the statistics in this paper only reflect the experience in one province, my guess is that the issues these data point to are commonplace, not only elsewhere in Canada but also world wide.In spite of limitations in the data system itself, the findings clearly point to serious flaws in how both the police and the legal system address impaired driving.Set aside the legal subtleties and look at the larger picture the findings present.As someone who has been spared personal experience with drunk driving, I find the results extremely disturbing.Imagine, then, how the families of victims must feel about this "system" that is supposed to deter.Because most injury prevention initiatives depend on lay persons for their success, I asked the vice president of MADD in the US, Wendy Hamilton, to present it as a Featured Program (p 90).Anyone familiar with this amazing program is bound to be impressed with its many accomplishments.Sadly, its origins and continued strength derive almost entirely from needless personal tragedies.There are many such programs in other countries and each deserves similar recognition.Finally, because impaired driving is dealt with so diVerently from one country to another, I asked Kathryn Stewart of the Pacific Institute for Research and Evaluation to write a guest editorial on this issue (p 80).She graciously agreed.Her superb contribution draws attention to how international the eVort has been to conquer this problem.Not surprisingly, perhaps, the country with the lowest tolerated level is Sweden, 0.02%.Stewart's editorial also
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 tête enseignante, 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 ».