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Enregistrement W2409152230 · doi:10.1111/j.1539-6924.2009.01277.x

From the Editors

2009· article· en· W2409152230 sur OpenAlexaboutno aff
Michael Greenberg, Karen Lowrie

Notice bibliographique

RevueRisk Analysis · 2009
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePesticide Exposure and Toxicity
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHomeland securityTerrorismIndex (typography)HomelandPolitical scienceEnvironmental healthHistoryCriminologyMedicinePsychologyLawPolitics

Résumé

récupéré en direct d'OpenAlex

We begin the issue with a letter by Kevin Konty et al. about a paper by Walter Piegorsch et al.(1) which used a place-based vulnerabilty index to characterize 132 U.S. cities. Konty and colleagues from the New York City Department of Health and Mental Hygiene question the data and conclusions. The authors respond that their focus is on event consequences, not on the ability to predict future terrorist events. Five of the ten papers in this issue are contributions to risk assessment. John Bukowksi's perspective paper examines cancer risk among workers exposed to chloroprene. With a grant from the International Institute of Synthetic Rubber, he focuses on liver, lung, and lymphohematopoietic cancers, which early studies found to have relatively high numbers of cases. Using a set of studies from across the world, Bukowksi observes a strong healthy worker effect, which could have obscured small excess risks. Small increased risks were suggested by internal or company-specific analyses, but, he asserts, these may be explained by confounding factors. Hamid Mohtadi and Antu Panini Murshid, supported by the U.S. Department of Homeland Security, assess historical trends (1950–2005) in food sector bioterrorism. They point to a disturbing shortening in the re-occurrence period for attacks on food supplies. Specifically, they find that the frequency of catastrophic terrorist events, i.e., those with large numbers of casualties, is on the rise and the average reoccurrence period for such scale attacks is on the decline. Thus, for example, by the year 2025, an attack leading to 5,000 casualties would be expected to occur every 20 months, if not more often. Funded by the United States Department of Agriculture, Frank Koch et al. examine factors that influence the spread of pests across the landscape, in this case Sirex noctilio, a non-native wood wasp recently detected in the United States and Canada. They concentrate on how increased uncertainty in a risk model's numeric assumptions affects the spread of pests. Supported by the National Institute for Occupational Safety and Health (NIOSH), Mark Nicas and Rachael Jones analyze the relative contribution of four influenza virus exposure pathways—(1) virus-contaminated hand contact with facial membranes, (2) inhalation of respirable cough particles, (3) inhalation of inspirable cough particles, and (4) spray of cough droplets onto facial membranes. The authors identify four key data gaps that if addressed would reduce the uncertainty about diffusion of influenza viruses. The first methyl mercury-poisoning episode, called Minamata disease, was recorded in Japan during the 1950s, and was due to consumption of highly polluted fish. Ying Zhang et al. propose a model to describe the relationship between fish consumption and body methyl mercury levels in the Japanese population. The remaining five papers in this issue focus on risk perception. Supported by the National Science Foundation, Ginger Davis et al. explore the hypothesis that cyber security incidents prompt (security conscious) online customers to opt out and conduct their business elsewhere or, at the very least, to refrain from accessing online services. Notably, their results consistently indicate that cyber security incidents did not affect the structure of web traffic for the set of online businesses studied. Michael Greenberg measures public response to the idea of concentrating new nuclear power, waste management and laboratory facilities at locations with existing major nuclear plants (CLAMP) in the United States. A survey of 2,101 people who lived within 50 miles of 11 existing major nuclear sites found 34% favored CLAMP for new nuclear power plants, 52% for waste management facilities, and 50% for new nuclear laboratories. College educated, relatively affluent male whites were the strongest CLAMP supporters, an expected finding. Using a random sample from the general population of Switzerland, Carmen Keller et al. examine the effect of the radon risk ladder on risk perception. The radon risk ladder provides comparative risk information about the radon equivalent of smoking risk. These results show that the risk ladder can be a useful tool in enabling people to interpret various risk levels, especially for people with low numeracy skills. Funded by the Norwegian Research Council, Agathe Backer-Grondahl et al. analyze the difference between worry about accidents and unpleasant incidents on nine different means of ground transport. Norwegian respondents worried more about accidents than unpleasant incidents on private transport modes, and more about unpleasant incidents than accidents on public transport modes. The models of worry about accidents and worry about unpleasant incidents differed as to what predictors turned out to be significant. Using data from a Canadian survey on perceived chemical, biological, radiological, nuclear, and explosives (CBRNE), Jennifer Lee and Louise Lemyre examine likely public responses to terrorist events. Perceived coping efficacy emerged as the cognitive factor associated with the desirable responses to terrorism. The authors note that while campaigns aimed at raising awareness about the threat of terrorism could help encourage individual preparedness and planning, they also have possible undesirable effects on worry and avoidance behaviors. The key is finding a balanced strategy. We end our editorial report by introducing Alberto Alemanno as our new Area Editor for policy. Trained in Europe and the United States, Alberto is a professor of law at HEC-Paris and is chair of the SRA Risk Policy and Law Specialty Group. Welcome Alberto!

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,357
Score d'incertitude au seuil0,789

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,212
Écart entre enseignants0,203 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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
Publié2009
Routes d'admission1
Résumé présentoui

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