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Record 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 on OpenAlex
Judy Illes, Jacqueline Davidson, Ralph Matthews

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Law and the Biosciences · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsNeuroDevNetUniversity of British Columbia
Fundersnot available
KeywordsNeuroethicsBioethicsCommissionEngineering ethicsIntersection (aeronautics)Field (mathematics)Environmental ethicsPolitical scienceNeurosciencePsychologyLawGeographyEngineeringPhilosophyCartography

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.350
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it