Symptom specificity of adolescents with self-injurious actions
Bibliographic record
Abstract
As an introductory part of the paper, authors give a short overview of existing results in the literature related to self-injurious behaviour and adolescents' deliberate self-harm. In their own random sample study, authors organized a self-report screen (provincial town, 3 educational facilities, 470 pupils aged between 14 and 18 years) by means of the translated version of Ottawa Self Injury Inventory (OSI) used widely in community-based studies in Canada. The Beck Depression Inventory was introduced to measure the key symptoms of depression among youngsters. 26 youngsters were found to have had at least one self-injurious action in their life-time. The authors describe the characteristics of these subjects on the basis of symptom occurrence statistics. Although the depressive symptoms have an expected correlation with the self-injurious ideas, depression does not seem to have the same relationships with the actual self-harm action. The authors attempt to give an explanation of this contradiction.
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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".