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Record W2024758745 · doi:10.1521/psyc.2012.75.2.190

Professional Competencies for Promoting Recovery in Mental Illness

2012· article· en· W2024758745 on OpenAlex

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

VenuePsychiatry · 2012
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyMental illnessPerspective (graphical)Schizophrenia (object-oriented programming)TeamworkMental healthService providerNursingService (business)Medical educationClinical psychologyMedicinePsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

This study explored professional caregiving from the perspective of people diagnosed with schizophrenia to develop proposed professional competencies for promoting recovery. We conducted semi-structured qualitative interviews with 40 people diagnosed with schizophrenia to explore their experiences of caregiving. Interview segments related to professional caregiving were analyzed to derive categories and themes that described aspects of caregiving that clients believed contributed to their recovery. The proposed competencies derived from the interviews overlap with hypothesized competencies identified in the literature, but also suggest other areas of skill and attitude that relate to promoting recovery, including use of time, talk, and teamwork. The significance participants attach to time and talk suggests that services play an important role in recovery by creating the space for service users and service providers to engage in recovery-promoting practices.

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)0.001
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 score0.470
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.130
GPT teacher head0.431
Teacher spread0.300 · 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