Non‐suicidal self‐injury in Shanghai inner bound middle school students
Bibliographic record
Abstract
BACKGROUND: Non-suicidal self-injury (NSSI) behaviour is very common among adolescents. Its prevalence and behavioural characteristics may vary according to regional and cultural differences. Investigation of NSSI locations and diagnosis of adolescents with NSSI are relatively lacking in China. AIMS: The study objective was to determine the prevalence and features of NSSI among middle school students in Shanghai. METHODS: The participants were from grade 6 to 8 selected from three junior schools in Jing'an District. Consenting students completed the Ottawa Self-Injury Inventory to determine the prevalence and characteristics of NSSI. Those who indicated NSSI within the past month were administered the Mini-International Neuropsychiatric Interview for Children and Adolescents to assess for emotional disorders. RESULT: =14.03, p=0.00). Commonly reported reasons for NSSI were for internal and external emotion regulation (87.9%, 82.3%) and social influence (57.8%). Anxiety disorders were the most common (28.9%) disorder associated with NSSI. CONCLUSION: The rate of NSSI of middle school students in Shanghai inner bound is similar to those reported in North American and European youth. It is essential that school mental health professionals are aware of how to manage NSSI within the school setting.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".