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Record W2147001503 · doi:10.1002/jclp.20661

The Role of seeing blood in non‐suicidal self‐injury

2010· article· en· W2147001503 on OpenAlexaff
Catherine R. Glenn, E. David Klonsky

Bibliographic record

VenueJournal of Clinical Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyIntrapersonal communicationBorderline personality disorderBulimia nervosaClinical psychologyPopulationPersonalitySelf-destructive behaviorInjury preventionAffect (linguistics)PsychiatryPoison controlDevelopmental psychologyEating disordersMedicineMedical emergencySocial psychologyInterpersonal communication

Abstract

fetched live from OpenAlex

Non-suicidal self-injury (NSSI) is a growing clinical problem, especially among adolescents and young adults. Anecdotal accounts, clinical reports, and popular media sources suggest that observing the blood resulting from NSSI often plays an important role in the behavior's reinforcement. However, research to date has not systematically assessed the role of blood in NSSI. The current study examined this phenomenon in 64 young adults from a college population with histories of non-suicidal skin-cutting. Approximately half the participants reported it was important to see blood during NSSI. These individuals reported spending five minutes or less looking at the blood after each instance of NSSI, and that seeing blood served several functions including "to relieve tension" and "makes me feel calm." In addition, wanting to see blood was associated with greater lifetime frequency of skin-cutting and greater endorsement of intrapersonal functions for NSSI (e.g., affect regulation, self-punishment). Finally, participants who reported wanting to see blood were more likely to endorse symptoms of bulimia nervosa and borderline personality disorder. Theoretical and clinical implications are discussed.

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)0.001
metaresearch head score (Gemma)0.008
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.055
GPT teacher head0.470
Teacher spread0.415 · 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

Citations85
Published2010
Admission routes1
Has abstractyes

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