Epigenetics and the Environment in Bioethics
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.
Bibliographic record
Abstract
A rich literature in public health has demonstrated that health is strongly influenced by a host of environmental factors that can vary according to social, economic, geographic, cultural or physical contexts. Bioethicists should, we argue, recognize this and--where appropriate--work to integrate environmental concerns into their field of study and their ethical deliberations. In this article, we present an argument grounded in scientific research at the molecular level that will be familiar to--and so hopefully more persuasive for--the biomedically-inclined in the bioethics community. Specifically, we argue that the relatively new field of molecular epigenetics provides novel information that should serve as additional justification for expanding the scope of bioethics to include environmental and public health concerns. We begin by presenting two distinct visions of bioethics: the individualistic and rights-oriented and the communitarian and responsibility-oriented. We follow with a description of biochemical characteristics distinguishing epigenetics from genetics, in order to emphasize the very close relationship that exists between the environment and gene expression. This then leads to a discussion of the importance of the environment in determining individual and population health, which, we argue, should shift bioethics towards a Potterian view that promotes a communitarian-based sense of responsibility for the environment, in order to fully account for justice considerations and improve public health.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it