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Record W2194594473 · doi:10.1002/hast.522

Epigenetics in the Neoliberal “Regime of Truth”

2015· article· en· W2194594473 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Hastings Center Report · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsBiopowerEpigeneticsContext (archaeology)SociologyPublic policyPsychological interventionPolitical scienceEnvironmental ethicsSocial sciencePoliticsBiologyGeneticsLawPsychology

Abstract

fetched live from OpenAlex

Recent findings in epigenetics have been attracting much attention from social scientists and bioethicists because they reveal the molecular mechanisms by which exposure to socioenvironmental factors, such as pollutants and social adversity, can influence the expression of genes throughout life. Most surprisingly, some epigenetic modifications may also be heritable via germ cells across generations. Epigenetics may be the missing molecular evidence of the importance of using preventive strategies at the policy level to reduce the incidence and prevalence of common diseases. But while this "policy translation" of epigenetics introduces new arguments in favor of public health strategies and policy-making, a more "clinical translation" of epigenetics is also emerging. It focuses on the biochemical mechanisms and epigenetic variants at the origin of disease, leading to novel biomedical means of assessing epigenetic susceptibility and reversing detrimental epigenetic variants. In this paper, we argue that the impetus to create new biomedical interventions to manipulate and reverse epigenetic variants is likely to garner more attention than effective social and public health interventions and therefore also to garner a greater share of limited public resources. This is likely to happen because of the current biopolitical context in which scientific findings are translated. This contemporary neoliberal "regime of truth," to use a term from Michel Foucault, greatly influences the ways in which knowledge is being interpreted and implemented. Building on sociologist Thomas Lemke's Foucauldian "analytics of biopolitics" and on literature from the field of science and technology studies, we present two sociological trends that may impede the policy translation of epigenetics: molecularization and biomedicalization. These trends, we argue, are likely to favor the clinical translation of epigenetics-in other words, the development of new clinical tools fostering what has been called "personalized" or "precision" medicine. In addition, we argue that an overemphasized clinical translation of epigenetics may further reinforce this biopolitical landscape through four processes closely related to neoliberal pathways of thinking: the internalization and isolation (aspects of liberal individualism) of socioenvironmental determinants of health and increased opportunities for commodification and technologicalization (aspects of economic liberalism) of health care interventions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.026
GPT teacher head0.267
Teacher spread0.241 · 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