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A Compassion-Focused Approach to Nonsuicidal Self-Injury

2011· article· en· W336884829 on OpenAlexaff
K. Jessica Van Vliet, Genevieve R.C. Kalnins

Bibliographic record

VenueJournal of Mental Health Counseling · 2011
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsTrinity Western UniversityUniversity of Alberta
Fundersnot available
KeywordsSelf-compassionPsychological interventionPsychologyPsychotherapistFeelingCompassionMental healthClinical psychologyMindfulnessPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Mental health counselors working with adolescents and young adults often encounter nonsuicidal self-injury. Compassion-focused therapy (CFT), a form of cognitive behavioral therapy designed to help people relate to themselves with greater compassion, is proposed as an approach for addressing the most common underlying functions of nonsuicidal self-injury. This article reviews the theoretical underpinnings and goals of CFT and discusses how it can be used in counseling clients who self-injure. It describes strategies and techniques that target client attention, imagery, feeling, thinking, and behaviors and offers guidelines and considerations for using compassion-focused interventions for nonsuicidal self-injury.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.349
Teacher spread0.288 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations70
Published2011
Admission routes1
Has abstractyes

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