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 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 | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".