Characteristics and functions of Self-injury in a sample of adolescents attending Child and Adolescent Psychiatry Clinic in Tirana
Bibliographic record
Abstract
Self-injury in the 12 to 18 years old age group is of public concern and the majority of self-injurious behaviors do not reach professional attention. The frequency of nonsuicidal self-injury (NSSI) among adolescents is increasing and it often presents as a long history of self-injury, in absence of physical pain and associated with a higher rate of lifetime suicide attempts compared to the general population. Admission to a psychiatric ward often occurs to prevent further self-injury or attempted suicide. Objectives. The purposes of this study were to examine the socio demographic/clinical characteristics, to evaluate the functions and the trend of self-injury among adolescents aged 10-20 years, attending the Child and Adolescent Psychiatry Clinic (CAPC) in Tirana, Albania. Material and methods. The period of the study was from March to June 2014. All adolescents admitted to CAPC were interviewed by a psychiatrist and completed the Ottawa Self-Injury Inventory. Descriptive data are reported, using different tables and graphics. SPSS v17 was used for statistical analysis. Results. The mean age of the study participants was 16.5 years old (SD = ± 1.571), 83 % of them being female. The most common method of self-injury was cutting / scratching of the skin, in 84.2% of all cases. The most frequently reported function of NSSI was external emotional regulation. Conclusions. This is a first attempt to study NSSI as a new phenomenon among Albanian adolescents. Further research is needed to examine outpatient and community samples of adolescents.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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 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".