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Record W1981671619 · doi:10.1521/suli.33.3.277.23218

Two Models of Adolescent Self‐Mutilation

2003· article· en· W1981671619 on OpenAlexaff
Shana Ross, Nancy L. Heath

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2003
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsHostilityAnxietyFeelingPsychologyClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Currently little research exists examining the theoretical underpinnings of self-mutilation (SM) in community samples of adolescents. Two models, the hostility and anxiety reduction models, were simultaneously tested in order to determine whether SM in adolescence was characterized by greater feelings of anxiety and hostility. Four hundred and forty students were screened for the presence of SM. Sixty-one students who indicated that they hurt themselves as well as a comparison group of non-SM students completed the Hostility and Direction of Hostility Questionnaire (HDHQ), the Beck Anxiety Inventory (BAI), and an interview. Results indicate support for the hostility model of SM. Students who SM reported significantly more anxiety and more intropunitive and extrapunitive hostility. In addition, prior to self-mutilating feelings of both hostility and anxiety were described. Results are discussed with reference to both theoretical models.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.004
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.070
GPT teacher head0.339
Teacher spread0.269 · 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 designTheoretical or conceptual
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

Citations114
Published2003
Admission routes1
Has abstractyes

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