Psychological Dimensions Associated with Suicidal Ideation and Attempts in the National Comorbidity Survey
Bibliographic record
Abstract
Three important psychological dimensions in the suicide literature (neuroticism, self-criticism, and hopelessness) were examined in relation to suicidal ideation and attempts in the U.S. National Comorbidity Survey (Kessler et al., 1994; n = 5,877), after first controlling for the effects of previously identified sociodemographic and psychiatric variables related to suicidality in this nationally representative sample (Kessler, Borges, & Walters, 1999). Analyses were conducted separately for lifetime, current (12-month), and past history of suicidal ideation and attempts. Brief indices of self-criticism and hopelessness were robustly associated with suicide attempts across all three time frames. The results support the value of examining psychological individual differences over sociodemographic and psychiatric diagnoses alone in the comprehensive assessment of factors associated with suicidality in the general population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".