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Record W2269991867

Symptom specificity of adolescents with self-injurious actions

2005· article· hu· W2269991867 on OpenAlexaboutno aff
János Csorba, Edit Ferencz Szélesné, Pierre Steiner, Lajos Farkas, Attila Németh

Bibliographic record

VenuePsychiatria Hungarica : A Magyar Pszichiátriai Társaság tudományos folyóirata · 2005
Typearticle
Languagehu
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHarmAction (physics)Self-report studyDepression (economics)Self-destructive behaviorBeck Depression InventoryClinical psychologySelfDevelopmental psychologySocial psychologySuicide preventionPsychiatryPoison controlMedicineAnxiety
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.025
GPT teacher head0.296
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venuePsychiatria Hungarica : A Magyar Pszichiátriai Társaság tudományos folyóirata→Same topicSuicide and Self-Harm Studies→French-language works237,207→