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Record W3143603682 · doi:10.1111/bjc.12291

Shame, guilt, and suicidal thoughts: The interaction matters

2021· article· en· W3143603682 on OpenAlexafffund
David Kealy, Matt S. Treeby, Simon Rice

Bibliographic record

VenueBritish Journal of Clinical Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsShameSuicidal ideationPsychologyClinical psychologyAssociation (psychology)Suicide preventionPoison controlPsychiatryPsychotherapistSocial psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

OBJECTIVES: This study examined associations between generalized shame and guilt, and suicidal ideation. METHODS: Individuals attending outpatient mental health services (N = 100) completed study measures at a single time point. Correlation and regression analyses examined associations between recent suicidal ideation and generalized shame and guilt, both concurrently and interacting, controlling for depressive symptoms and history of previous suicide attempt. RESULTS: When examined concurrently, guilt - but not shame - remained significantly associated with suicidal ideation, after accounting for effects of depressive symptoms and past suicide attempt. A significant shame × guilt interaction revealed the association between guilt and suicidal ideation intensified with higher shame. CONCLUSIONS: Findings emphasize consideration of generalized shame and guilt - and their interaction - when working with patients exhibiting suicidal thoughts. PRACTITIONER POINTS: Shame and guilt are self-conscious emotions that, when generalized and excessive, may confer risk for suicidal ideation Generalized guilt may be uniquely linked with suicidal ideation, yet this association may also amplified by shame Both shame and guilt - and their interaction - are important to consider when working with patients exhibiting suicidal thoughts.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.150
GPT teacher head0.486
Teacher spread0.337 · 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.

Study designNot applicable
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

Citations52
Published2021
Admission routes2
Has abstractyes

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