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Record W2944053657 · doi:10.1111/sltb.12556

A Brief Measure of Unbearable Psychache

2019· article· en· W2944053657 on OpenAlexaffabout
Mikayla C. Pachkowski, Alexis M. May, Michelle Tsai, E. David Klonsky

Bibliographic record

VenueSuicide and Life-Threatening Behavior · 2019
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsFraser HealthBC Mental Health & Substance Use ServicesUniversity of British Columbia
Fundersnot available
KeywordsSuicidal ideationPsychologyClinical psychologyReliability (semiconductor)Scale (ratio)BelongingnessConvergent validityPsychometricsPsychiatryMedicinePsychotherapistSuicide preventionPoison controlMedical emergency

Abstract

fetched live from OpenAlex

OBJECTIVE: Psychache has been proposed to cause suicide when it becomes unbearable. However, existing measures of psychache do not directly target unbearable psychache. Thus, the purpose of the current study was to provide initial validation for a brief measure of unbearable psychache. METHOD: Three items were selected to create the Unbearable Psychache Scale (UP3). Psychometric properties were assessed in two populations: (1) an online sample composed of 1,006 adults (53% male) from various locations in the United States and (2) a sample of 190 psychiatric inpatient adults (47% male) from a hospital in Western Canada. RESULTS: In both samples, the UP3 demonstrated excellent internal reliability, and strong convergent and predictive validity. Additionally, the UP3 predicted significant variance in suicidal ideation over and above documented correlates of suicidal ideation including general psychache, hopelessness, perceived burdensomeness, and low belongingness. CONCLUSIONS: The UP3 is a brief, psychometrically sound measure of unbearable psychache that may be well-suited for use in research protocols and clinical assessments.

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)0.007
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 score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.051
GPT teacher head0.324
Teacher spread0.273 · 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

Citations59
Published2019
Admission routes2
Has abstractyes

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