Non-suicidal self-injury among Northern Italian high school students: Emotional, interpersonal and psychopathological correlates
Bibliographic record
Abstract
Non-suicidal self-injury (NSSI) is a common phenomenon in \nteenage society. Besides clinical literature shows significant \ncorrelations between NSSI and different psychopathologies, it \nis less known about non clinical population in the face of the \nimportant necessity to individuate at-risk population in order to \nplan efficacious preventive interventions.\nObjectives\nThis study aims to better understand NSSI by taking a further \ninvestigation into Italian non-clinical population, recruiting 277 \nsubjects (aged 13-19) of 4 different schools in Northern Italy.\nMethods\nThe participants were given a question about NSSI frequency and a 6-self-report-battery composed by: Youth Self-Report 11-18, Child Behaviour Check List, Barratt Impulsiveness Scale, Toronto Alexithymia Scale, Children’s Depression Inventory and Symptom Checklist-90-R.\nResults\n12.6% of our subjects declared to have admittedly harm \nthemselves at least once and just 11.4% of them told about \nthis episode to an expert. The inferential analysis shows connection between alexithymia, interenalizing/externalizing \nproblems and NSSI. No association was found with impulsiveness. \nConclusions\nThese results have many interesting clinical and preventing \nimplications: first of all, they help specialists to better understand the NSSI pathology and its precursors secondly they \nshow NSSI-people inside world and way of thinking about others.
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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 | 0.001 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".