Childhood adversities as antecedents of suicide completion
Bibliographic record
Abstract
Suicide is a worldwide challenge that is associated with an interactive multitude of health, social, environmental and familial factors. In spite of promising advances in research aimed at unraveling the complexity of this distressing behaviour, suicide continues to impact many individuals and families and is considered as one of the principal causes of morbidity and mortality. Evidence from numerous studies has demonstrated childhood traumatic experiences as relevant risk factors for adult psychopathology and suicidal behaviour. Yet, not many research groups studying suicide have directly investigated the relationship between histories of childhood maltreatment and completed suicides. There appears to be a gray area in our understanding: Is suicide directly related to childhood abuse and neglect or do early traumatic life events predispose the individual to poor mental health which affects suicidality among the suicide completers. Studying this relationship may prove useful in assessing future suicide risk among high risk groups with psychiatric problems and childhood adversities. However, not all suicide completers suffer from psychopathology or have experienced childhood maltreatment. As the title suggests, this study aims to examine the relationship between childhood abuse and suicide completion and to investigate the frequency of traumatic childhood events (including sexual abuse, physical abuse, parental neglect, and family discord) so as to better understand and delineate the underlying risk factors associated with suicide. We used a psychological autopsy methodology with two different samples to examine the proportion of completed suicides directly associated with childhood abuse. We also explored types and frequency of childhood maltreatment among adult suicide completers. Based on previous findings among suicide attempters, we expected that high levels of sexual abuse would be found. We will pr
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".