Passive Suicidal Ideation in Childhood
Bibliographic record
Abstract
Abstract: Background: A growing body of empirical research shows that suicidal behaviors are prevalent in childhood. Yet, few studies have examined risk factors related to suicidal ideation (SI) among children aged 12 and younger. Aims: The current study addresses this gap. Method: A questionnaire was filled out by 1,350 Flemish primary caregivers (94.7% mothers) of 9-year-old children (50.4% boys, Mage = 9.45). Their responses were analyzed using logistic regression and independent samples t tests. Results: The presence of passive SI was reported in 10.5% of the children. A psychiatric, developmental, or behavioral condition (or multiple conditions), a learning disorder, impulsivity, aggression, and experiencing multiple stressful family life events were discovered as potential risk factors of passive SI in childhood. Limitations: The cross-sectional nature of this study meant that causality could not be inferred. In addition, it was based on reports of primary caregivers, rather than on reports from the children themselves. Conclusion: These new empirical findings can be used for the development of prevention programs and be taken into account in risk assessments of SI in clinical practice. Confirmation of our findings in a longitudinal child-reported study is needed.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".