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Record W4416810460 · doi:10.1002/cpp.70182

The Despair of Identity Diffusion: Associations With Psychache and Hopelessness and the Indirect Effect of Childhood Emotional Abuse

2025· article· en· W4416810460 on OpenAlexafffund
Angela Russolillo, Connor Hawkins, David Kealy

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2025
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsIdentity (music)MediationVulnerability (computing)Childhood abusePersonal identitySelf-concept

Abstract

fetched live from OpenAlex

Identity diffusion, involving a lack of cohesive personal identity, is a vulnerability factor in affective states-psychache and hopelessness-that often precede suicidality. Traumatic experiences, such as childhood emotional abuse, may limit the capacity to form a stable and coherent sense of self, thereby indirectly heightening the vulnerability to psychache and hopelessness through diffuse identity. The present study examined the relationship between identity diffusion and psychache and hopelessness, along with the indirect effect of perceived childhood emotional abuse. The sample (n = 297) comprised UK-based help-seeking adults recruited online. Eligible participants completed measures of identity diffusion, unbearable psychache, hopelessness and childhood emotional abuse at baseline, with psychache and hopelessness reassessed two months later. Regression analyses revealed that identity diffusion was significantly associated with both psychache and hopelessness over time, even after controlling for baseline levels. Mediation analysis further indicated that identity diffusion had a significant mediating effect on the relationship between childhood emotional abuse and later experiences of psychache and hopelessness. These findings underscore the importance of clinically targeting identity diffusion to help reduce presuicidal affective states, particularly among individuals who experience childhood emotional maltreatment.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.417
Teacher spread0.391 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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