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Record W2766288987 · doi:10.1057/978-1-137-52879-7_21

Epigenetics and the Suicidal Brain: Reconsidering Context in an Emergent Style of Reasoning

2017· book-chapter· en· W2766288987 on OpenAlexaffabout
Stephanie Lloyd, Eugene Raikhel

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2017
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsContext (archaeology)Style (visual arts)PsychologyCognitive scienceGeography

Abstract

fetched live from OpenAlex

In this chapter, we consider the models of suicide risk emerging from environmental epigenetics research at the McGill Group for Suicide Studies. We argue that this research represents an emergent style of reasoning in which a range of contextual and environmental factors are both molecularized and located in the brain. We also argue that implicit in this research is a notion of a “suicidal brain”: a brain that responds to adverse life experiences with an increase in risk of suicidal behaviour. In examining both this concept and its attendant styles of reasoning, we highlight some of the issues which research in environmental epigenetics raises for the study of suicide, as well as for the social sciences more broadly.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.720
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.025
GPT teacher head0.257
Teacher spread0.231 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations7
Published2017
Admission routes2
Has abstractyes

Explore more

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