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Activity and Social Participation in the Period following a First Episode of Psychosis and Implications for Occupational Therapy

2010· article· en· W2320428176 on OpenAlexaff
Terry Krupa, Harriet Woodside, Karen Pocock

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2010
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsSt. Joseph's HospitalQueen's University
Fundersnot available
KeywordsDisengagement theoryDisconnectionPsychologyPsychosisOccupational therapySocial engagementConstructivist grounded theoryPeriod (music)Developmental psychologyGrounded theoryPsychiatryMedicineGerontologyQualitative researchSociology

Abstract

fetched live from OpenAlex

Purpose: The study advances a conceptual understanding of activity and social participation in the period following the first episode of psychosis. Method: A constructivist, grounded theory approach was used. Data were collected from 25 primary participants who had experienced a first episode of psychosis in the previous 5 years; 15 secondary participants, such as family and friends, with knowledge of the activity and social experiences of primary participants, personal records and documents; and six key informants. Findings: The first episode of psychosis was highly disruptive and even damaging to activity and social participation. Recovering from this fall-out, to maintain engagement in activities and social participation, included the need to create new plans, adjust to affective disconnection, develop balanced lifestyles, match participation to abilities, learn new skills, and participate under new and constraining social conditions. Conclusion: The period following the first episode of psychosis is a time of high risk for disengagement from activity and social participation. Occupational therapists have an important role to play in enabling activity and social engagement. The findings offer examples of how occupational therapy services might address critical tasks for activity and social engagement.

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)0.003
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 score0.113
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.230
GPT teacher head0.532
Teacher spread0.302 · 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

Citations21
Published2010
Admission routes1
Has abstractyes

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