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Enregistrement W2009907671 · doi:10.1093/jlb/lsu015

Environmental neuroethics: changing the environment—changing the brain Recommendations submitted to the Presidential Commission for the Study of Bioethical Issues

2014· article· en· W2009907671 sur OpenAlex
Judy Illes, Jacqueline Davidson, Ralph Matthews

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Notice bibliographique

RevueJournal of Law and the Biosciences · 2014
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueRisk Perception and Management
Établissements canadiensNeuroDevNetUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésNeuroethicsBioethicsCommissionEngineering ethicsIntersection (aeronautics)Field (mathematics)Environmental ethicsPolitical scienceNeurosciencePsychologyLawGeographyEngineeringPhilosophyCartography

Résumé

récupéré en direct d'OpenAlex

Environmental neuroethics situates the field of neuroethics1 at the intersection of some of the leading transformatory processes of our time. The world is experiencing sweeping changes today in ecology and society related to the impact of industry arising from the continually expanding worldwide human demand for energy, new products, and a technologically advanced lifestyle. Prime among these environmental impacts are climate change and water deterioration.2 Though climate change is generally examined in terms of scientific measures, it should primarily be thought of as a social condition.3 Its causes are largely due to human behavior, and whether people can mitigate its effects or adapt to them will require a restructuring of current social, political, and cultural institutions, and related behaviors. Similarly, in part because of climate change and in part because of the effects of industry, the availability of clean water for human consumption is rapidly being depleted, particularly in arid regions of North America, Africa, and Asia.4 Of note is that both the surface water and the aquifers built up underground over thousands of years are now threatened.5 Over the past two decades, the impact of climate change and the deterioration of available water resources have intersected with new ways of accessing carbon-based energy. The technological process known as hydraulic fracturation or ‘fracking’ has led to the profitable development of formerly inaccessible gas resources, particularly in North America and Australia, and also in China and Europe.6 Indeed, gas resources available through fracking are now believed to be able to provide the world with enough carbon-based energy for the next 200 years. Fracking uses a combination of high pressure water, sand and chemicals, and new drilling techniques to release pockets of natural gas usually at depths exceeding 2000 feet below the surface. Not only does this place enormous stress on the available water resources, but approximately 40 per cent of the fracking mixture returns to the surface to provide another potential source of water contamination.7 In addition, leakage of gases such as methane and CO2 can exacerbate the level of greenhouse gas release and thereby have negative climate impacts. This is not the place to debate the pros and cons of fracking, other types of industrial water utilization, or the causes of climate change. However, it is highly probable that fracking, like many other industrial activities, not only has environmental impacts, but also significant human health impacts.8,9 While the physical effects of these processes, such as asthma and cardiovascular disease, have begun to receive some attention in the professional academic literature,10,11 there is still little consideration of them in the neurological health literature or in work that directly examines the impact of such environmental processes on mental health. This was no more evident than in a recent study that looked at Early Onset Familial Alzheimer Disease in a First Nation family in Canada (Brief and Illes 2010; Stevenson et al. 2013). Given this, our submission to the Presidential Commission for the Study of Bioethical Issues proposed the consideration of a new trajectory for neuroethics—environmental neuroethics—with a focus on the challenges specifically affecting brain health and illness. In proposing this new trajectory for neuroethics, we emphasize that it will require the linking of disciplines not often brought into direct engagement with one another. Most notably, it will require input related to neurological sciences with ecology, climate science, engineering, environmental and regulatory law, and social science. That is, the assessment of both the impact and ethical issues involved requires a broad interdisciplinary understanding of technical issues in environmental, physical, and chemical science, together with health and social sciences fields. The challenges faced in providing this new interdisciplinary analysis to the biosciences ethics are enormous. However, these are core challenges with which we must engage. Our call and encouragement for environmental neuroethics, submitted in answer to the Bioethics Commission's call for comments,12 appears below.

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.

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)0,011
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,730
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0110,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0040,002
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,043
Tête enseignante GPT0,350
Écart entre enseignants0,306 · 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