You Are What Your Mother Endured: Intergenerational Epigenetics, Early Caregiving, and the Temporal Embedding of Adversity
Bibliographic record
Abstract
Environmental epigenetics has become a site of growing attention related to the intergenerational effects of stress, trauma, and adversity. This article draws on a multi-sited ethnography of epigenetic knowledge production in the United States and Canada to document how scientists conceptualize, model, and measure these experiences and their effects on children's neurodevelopmental and behavioral health. We find that scientists' efforts to identify the molecular effects of stress, trauma, and adversity results in a temporal focus on the mother-child dyad during early life. This has the effect of biologizing early childhood adversity, positioning it as a consequence of caregiving, and producing epigenetic findings that often align with individually oriented interventions rather than social and structural change. Our analysis suggests that epigenetic models of stress, trauma, and adversity therefore situate histories of oppression, inequality, and subjugation in discrete and gendered family relations, resulting in the temporal embedding of adversity during early life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".