A study of Hungarian adolescent outpatients suffering from self-injurious behaviour.
Bibliographic record
Abstract
In this pilot study (Study A), the authors administered the Hungarian standard version of Beck Depression Inventory (BDI) and the translated version of the Ottawa Self Injury Inventory (OSI) to students of 3 educational facilities in a county town. Fourteen to eighteen year old pupils were tested in order to measure the key symptoms of depression and the frequency and characteristics of self-injurious behaviour among this sample of the high school population. Twentysix youngsters were found to have had any form of self-injurious actions in their life-time. The paper presents descriptive data on the basis of statistics of symptom occurence. Although the depressive symptoms have an expected correlation with the self-injurious ideas,depression seems not to have the same relationships with actual self-harm action. In study B, the authors present descriptive statistics on the data of 48 female outpatients from the total pool of 72 adolescents aged 14 through to-18 years (average age 16.1 years) showing symptoms of self-injurious behavior according to the Ottawa Self Injury Inventory (OSI). All patients were recruited from a one-year clinical,representative sample of the "Pannonia" multicentre adolescent psychiatry survey. Ten point two percent of consecutively referred and 25.6% of treated adolescent patients had symptoms of self-injurious behavior over a one-year period in 4 Transdanubian Child Psychiatric Centers, which is more frequent than the expected rate. Referring to the clinical diagnoses of adolescents confirmed by M.I.N.I. Plus Diagnostic Interview, the authors estimate, that the majority of these young people suffered from episode(s) of present or past major depression, from whatever form of anxiety disorder and/or from suicidal behaviour. The study presents details of risk behavior including motivations, frequency of acts, ideas, afflicted body regions, emotional correlates, secondary obtained benefits , escalation of problem behavior and consequences in detail.
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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) | 0.001 | 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 | 0.000 |
| 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; 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".