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Record W3082806242 · doi:10.1111/eip.13026

Perspectives on personal identity in the early stages of psychosis: A survey of Canadian clinicians

2020· article· en· W3082806242 on OpenAlexaffabout
Shelly Ben‐David, David Kealy, Jessica L. Hanson, Radha Ortiz

Bibliographic record

VenueEarly Intervention in Psychiatry · 2020
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British Columbia
Fundersnot available
KeywordsSalience (neuroscience)Early psychosisPsychosisIdentity (music)PsychologyIntervention (counseling)Clinical psychologyPsychiatryMedicine

Abstract

fetched live from OpenAlex

AIM: Identity-related concerns represent an important aspect of young people's experience in early psychosis. Knowledge regarding clinicians' perspectives on this issue, however, is limited. Thus, the present study was developed to understand Canadian clinicians' perspectives on personal identity-related concerns in early psychosis. METHODS: An online survey was distributed to 331 multiprofessional clinicians working in early psychosis intervention programs in a Canadian province. Clinicians were asked about their opinions regarding the salience of identity in early psychosis using Likert-rated items and open response questions. RESULTS: Nearly all of the clinicians agreed that identity is an important issue for clinical attention, yet only half of the clinicians endorsed a high level of confidence in their ability to address issues related to identity in treatment. Although several clinical strategies were identified, specific evidence-based approaches for strengthening identity in early psychosis remain lacking. CONCLUSIONS: Findings indicate a need for early psychosis programs to invest in identity- related training for clinicians.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.054
GPT teacher head0.371
Teacher spread0.317 · 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 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

Citations4
Published2020
Admission routes2
Has abstractyes

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