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Record W4406438475 · doi:10.1080/07481187.2025.2452465

“I wanted to be proud of myself, not ashamed”: A qualitative investigation of suicide and self-injury inflection points

2025· article· en· W4406438475 on OpenAlexaff
Susan Rasmussen, Erin A. Kaufman, Andréa R. Kaniuka, Brianna Meddaoui, Raina H. Miller, Rachel Kinnard, Dese’Rae L. Stage, Robert J. Cramer

Bibliographic record

VenueDeath Studies · 2025
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologySuicide preventionPoison controlPsychoanalysisMedicineMedical emergency

Abstract

fetched live from OpenAlex

Inflection points are pivotal moments immediately preceding self-directed violence (SDV; i.e., self-injury and suicide). This study qualitatively examined factors that contributed to halting SDV during inflection points. Participants (N = 166) completing an online survey were community-dwelling adults in the United Kingdom with some form of SDV lived experience. Thematic analysis yielded the following results. The most common themes across SDV inflection points were (in descending order): concern for the negative impact on others (e.g., fear of hurting loved ones), use of adaptive coping methods (e.g., general use of coping skills), physical deterrents (e.g., scarring, pain), social contact (sense of connection in the moment), and concern for negative consequences on oneself (e.g., fear of punishment). Healthy coping skill use contributed to halting both self-injury and suicide. Self-injury inflection points were largely characterized by intrapersonal factors, whereas suicide inflection points were highly interpersonal in nature. Implications for clinical practice, theory, and research 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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.106
GPT teacher head0.440
Teacher spread0.334 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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