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Record W4393902762 · doi:10.1080/14636778.2024.2332306

Genetic subjectivities of prospective fathers: men’s attitudes toward epigenetics

2024· article· en· W4393902762 on OpenAlexaboutno aff
Matthew Kearney

Bibliographic record

VenueNew Genetics and Society · 2024
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsEpigeneticsPsychologyDevelopmental psychologyGeneticsBiologyGene

Abstract

fetched live from OpenAlex

This study investigates prospective fathers' reaction to epigenetics and its implications for heredity.Mounting scientific evidence that epigenetic changes transmit through fathers, not just mothers, makes it important to learn how men regard their inheritance conceptually and its relevance for their behavior.This study features in-depth interviews with 31 prospective fathers in Canada.About one-third of respondents had heard of epigenetics, but only one had substantial knowledge.After a non-technical explanation, virtually all found epigenetics plausible, though to varying degrees and with varying mental models of how epigenetic inheritance would work.Nearly all expressed a strong desire to follow whatever behaviors would improve the health of their future children, even lifestyle changes, thus re-aligning responsible fatherhood with new scientific findings.This demonstrates the new concept of genetic subjectivity: socially conditioned attitudes and normative agency based on genetic science.Implications for the ontology of gendered inheritance and social relations are discussed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.311
Teacher spread0.282 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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