P01-261 - Felt Security and Suicidality in a Clinical Sample of Adolescents
Bibliographic record
Abstract
Introduction Attachment theory offers both a conceptual framework and an empirical basis for understanding the development of parent-child relationships and their contribution to individual psychosocial adaptation across the life cycle. Although no existing model adequately predicts suicide, family relationship problems are increasingly implicated in the etiology of adolescent suicidal behaviour. Objectives We sought to examine the association between felt attachment security and a history of suicidal behaviour among a group of adolescents in psychiatric treatment. Methods In this cross-sectional study, we examined the association between felt attachment security and a history of suicidal behaviour among 122 hospitalized adolescents. Felt security (as measured by the validated Adolescent Attachment Questionnaire) has been defined as one's perception of the availability and responsiveness of an attachment figure. Results Compared to others, the group coded as both depressed and suicidal had significantly higher scores on the AAQ subscales of ‘perceived unavailability’ and ‘angry distress’, as well as higher comorbidity and lower self-esteem compared to non-suicidal, non-depressed adolescents. The model accounted for approximately 50% of the observed variance. Conclusions Attachment theory integrates ethological and psychoanalytic principles in describing the origins and growth of human personality. It provides a coherent framework for understanding adolescent suicidality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".