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Record W2326791682 · doi:10.2975/26.2003.290.302

Aging women with schizophrenia.

2003· article· en· W2326791682 on OpenAlexaff
Wendy Pentland, Gina Miscio, Shirley Eastabrook, Terry Krupa

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2003
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsMental healthPsychologySchizophrenia (object-oriented programming)Coping (psychology)Qualitative researchLimitingMental illnessClinical psychologyPsychiatryGerontologyMedicine

Abstract

fetched live from OpenAlex

The purpose of this study was to describe the aging experiences of women with schizophrenia. The research focused on how participants viewed their own aging with schizophrenia, their perceived worries and concerns and how they were coping with aging with the disorder. Using a qualitative approach, data were collected using multiple in-depth interviews with six participants selected purposefully from the client list of a community mental health center. Interview transcriptions were coded and analyzed according to the study questions using QSR Nudist 4 software. Several categories and sub-categories emerged. These included the improvement in the illness over time; physical and daily living activity limitations; specific positive and negative changes that the women report have accompanied aging; the profound losses experienced by the participants when they were younger as a result of having schizophrenia; and how these losses have affected their present lives in terms of limiting available informal support, creating dependency on formal programs and services, and participants' fears of the future. Based on the study findings, implications for mental health practice and services are considered and suggestions are made to guide future research.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.318
Teacher spread0.306 · 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 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

Citations19
Published2003
Admission routes1
Has abstractyes

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