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Record W3013450252 · doi:10.1080/17522439.2020.1736610

Posttraumatic growth and recovery following a first episode of psychosis: a narrative review of two concepts

2020· review· en· W3013450252 on OpenAlexaff
Gerald Jordan, Srividya N. Iyer, Ashok Malla, Larry Davidson

Bibliographic record

VenuePsychosis · 2020
Typereview
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyPosttraumatic growthPsychosisNarrativeAmbiguityContext (archaeology)Phenomenology (philosophy)PsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

A first episode of psychosis is often a traumatic experience that leads to significant life disruptions. However, many young people recover following a first episode of psychosis. Two types of recovery from psychosis have been described in the literature: clinical recovery (i.e. the resolution of symptoms and resumption of social, occupational or educational goals) and personal recovery (i.e. finding a way to live a meaningful life despite the limitations of having a mental illness). Further, some young people may experience posttraumatic growth (i.e. positive psychological changes following the struggle with psychosis). It is unclear how posttraumatic growth and recovery are similar or distinct. This conceptual ambiguity may limit both theoretical and empirical work in the field. The purpose of this narrative review is to help resolve this ambiguity by describing similarities and differences in the historical roots, phenomenology, and predictors of recovery (both clinical and personal) and posttraumatic growth within the context of a first episode of psychosis. Our review concludes that personal recovery may be best understood as a broader construct under which clinical recovery is subsumed, and that posttraumatic growth may be a phenomenon that is related to, yet distinct from, personal recovery. Future empirical studies are needed to disentangle these phenomena.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.105
GPT teacher head0.467
Teacher spread0.362 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations10
Published2020
Admission routes1
Has abstractyes

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