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Record W4234729260 · doi:10.32920/ryerson.14644290.v1

The Influence of Culture on the Process of Recovery from a First Episode Schizophrenia

2021· preprint· en· W4234729260 on OpenAlexaff
Melanie A. Ramiro

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)Identity (music)PsychologyCultural identityProcess (computing)Bridge (graph theory)PsychotherapistSocial psychologyMedicineAestheticsPsychiatryComputer science

Abstract

fetched live from OpenAlex

The literature indicates that aspects of culture have the potential to influence recovery from first episode schizophrenia (FES). The purpose of this study was to describe the infl uence of culture on the process of recovery for individuals with first episode schizophrenia. This study employed a qualitative descriptive methodology and elicited the experience of five male participants, who self-identified that culture influenced their recovery from FES. The three categories that emerged from the data are: ‘Emerging Cultural Identity,’ ‘Cultural Identity and Describing the Illness Experience,’ and ‘Cultural Identity: A Bridge to Recovery.’ A distinctive feature of this study is that participants turned toward their cultural identity to facilitate their process of recovery from a FES and maintain a positive sense of self. This study offers a preliminary understanding of the role of culture in recovery from FES and suggests implications for clinical practice, future research and theory.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.008
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
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 head0.024
GPT teacher head0.340
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

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