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Record W3111438318 · doi:10.1002/jclp.23094

Self‐injury recovery: A person‐centered framework

2020· review· en· W3111438318 on OpenAlex
Stephen P. Lewis, Penelope Hasking

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Psychology · 2020
Typereview
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsFraming (construction)PsychologyLived experiencePsychological resiliencePsychotherapistNarrativeSocial psychology

Abstract

fetched live from OpenAlex

Growing interest has been paid to the concept of non-suicidal self-injury (NSSI) recovery. In research, and sometimes clinical practice, the focus has been on NSSI cessation, with recovery operationalised with reference to the time since someone last self-injured. Yet, perspectives from people with lived experience of NSSI indicate that recovery is much more complex. Drawing on recent empirical work, and the voices of people with lived experience of NSSI, we outline a new framework for conceptualizing NSSI recovery. We argue that recovery is nonlinear and multifaceted, comprising: Realistic Expectations and Setbacks; Normalizing Thoughts and Urges; Fostering Self-efficacy; Identifying Strengths; Finding Alternatives; Addressing Underlying Adversities; Addressing and Accepting Scarring; Navigating Disclosures; and Self-acceptance. In presenting research and clinical implications of this new framework, we propose that this framing offers a more complete understanding of NSSI recovery-one conducive to optimizing wellbeing and promoting resilience among individuals with lived experience.

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.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0020.003

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 head0.399
GPT teacher head0.570
Teacher spread0.171 · 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