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Record W3166516771 · doi:10.1017/s0269889721000065

Time, trauma, and the brain: How suicide came to have no significant precipitating event

2020· article· en· W3166516771 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueScience in Context · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsNarrativePsychopathologyNeurochemicalSubjectivityPsychologyTRACE (psycholinguistics)Event (particle physics)PsychoanalysisNeuroscienceHistoryDevelopmental psychologyPsychiatryEpistemologyLiteraturePhilosophyArt

Abstract

fetched live from OpenAlex

In this article, we trace shifting narratives of trauma within psychiatric, neuroscience, and environmental epigenetics research. We argue that two contemporary narratives of trauma - each of which concerns questions of time and psychopathology, of the past invading the present - had to be stabilized in order for environmental epigenetics models of suicide risk to be posited. Through an examination of these narratives, we consider how early trauma came to be understood as playing an etiologically significant role in the development of suicide risk. Suicide, in these models, has come to be seen as a behavior that has no significant precipitating event, but rather an exceptional precipitating neurochemical state, whose origins are identified in experiences of early traumatic events. We suggest that this is a part of a broader move within contemporary neurosciences and biopsychiatry to see life as post: seeing life as specific form of post-traumatic subjectivity.

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 score0.620
Threshold uncertainty score0.266

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 studies0.0000.001
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 head0.042
GPT teacher head0.354
Teacher spread0.312 · 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