Suicide in children: Concept analysis using Rodgers's evolutionary approach
Bibliographic record
Abstract
TOPIC: Although the concept of suicide in children and adolescents is widely present in the literature, its conceptual definition varies according to context, discipline, and time. How this concept is defined impacts the delivery of care to children and adolescents regarding suicide prevention in mental health settings and in the community. PURPOSE: Using Rodgers's evolutionary method, we examined the antecedents, attributes, and consequences of "suicide in children" through temporal trends, and geographic locations. SOURCES: In total, 106 articles were included. Searches were performed using CINAHL, PsycINFO, and Medline, as well as Google Scholar as a complementary tool. CONCLUSIONS: Through a thematic analysis, we identified three themes: (1) developmental perspectives, (2) factors predicting suicide in children, and (3) the emancipation of children as active agents in society. Recent literature shows a movement toward acknowledging the voice of children and adolescents regarding suicide. We address clinical and future implications for the development of this concept.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".