Notice bibliographique
Résumé
The question has been asked in many forums, why are major accidents still occurring? Awareness is an important basic learning factor to properly manage the lessons to be learned from major accidents. Over time, the recommendations made following an accident may be forgotten, procedures allowed to lapse, changes are made to equipment and the accident is just waiting to happen again. The memory within an organization that should help to prevent process safety accidents decays thus allowing accidents to repeat. It has been 38 years since the loss of all 84 crew members on the Ocean Ranger, the largest mobile offshore drilling unit of its day. At 1:10 a.m. EST on February 15, 1982, the Ocean Ranger’s crew sent a mayday call and abandoned the rig at 1:30 a.m. No one survived. There were no eye witnesses to tell what happened. Investigators were left with some technical evidence and the testimony from others. While the investigation report and recommendations from a Royal Commission into the Ocean Ranger tragedy changed the offshore safety regime of the time, can we learn more by re-examining the past? Can we stop learning safety by accident? Safety and environmental risk go hand in hand with industrial development. However, it is unclear whether there is a linear or nonlinear relationship between risk and industrial development. Perhaps, it is case dependent. Some industrial endeavors such as offshore development, activities in a harsher environment, or development requiring new technologies (untested and untrusted technologies) may pose a higher risk (nonlinear) than more conventional industrial development activities (e.g., petroleum refineries, petrochemical plants, pipeline transportation, and the like). Public perception plays a critical role in defining the risk versus development relationship. The public perception of risk is dependent on awareness and understanding of potential hazards and their likelihood of occurrence, and most importantly, effective communication of these along with the associated uncertainty. Public awareness can have a profound effect on the development of public policy, which in many cases is driven more by perception rather than by sound science. Two commonly used concepts of policy and decision-making will be investigated, the Precautionary Principle (PP) and As Low As Reasonably Practicable (ALARP). A clearer understanding of both approaches with an illustrative example will be provided. A process to help readers understand where and when PP versus ALARP would be most applicable is proposed.
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 | 0,005 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,004 | 0,010 |
| Études des sciences et des technologies | 0,005 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,006 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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.
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 ».