Temperament and Character Profiles of Group-Based Suicide Cases
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.
Bibliographic record
Abstract
BACKGROUND: Personality and character traits may be a key predisposing factor to consider in the life course of people who are vulnerable to suicide. AIMS: The aim of this study is first to explore the possible presence of different subgroups of suicide decedents based on developmental profiles of adversity, and secondly to examine the association of personality and character dimensions (covariates) with the trajectory outcome. METHOD: A total of 90 cases of suicide decedents were analyzed using growth mixture modeling (GMM). RESULTS: Results generated two different life trajectories and identified specific temperament profiles. Subjects assigned to the trajectory of high burden of adversity demonstrated a greater predisposition for harm avoidance and those in the trajectory characterized by low burden of adversity displayed greater predisposition for self-directedness. CONCLUSION: Our results add to the literature by suggesting that different subgroups of suicide completers show a predisposition for either harm avoidance or self-directedness.
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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 | 0.000 | 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) | 0.001 | 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 it