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Record W3041416191 · doi:10.1177/1049732320936990

Health Professionals as Mothers of Adult Children With Schizophrenia

2020· article· en· W3041416191 on OpenAlexaboutno aff
Debra Klages, Leah East, Kim Usher, Debra Jackson

Bibliographic record

VenueQualitative Health Research · 2020
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)PsychologyHealth professionalsQualitative researchDevelopmental psychologyPsychiatryMedicineHealth careSociologyPolitical science

Abstract

fetched live from OpenAlex

In this qualitative narrative study, we critically reflected upon mothering experiences of health professionals with adult children with schizophrenia. Thirteen participants from Australia, Canada, Scotland, and the United States were interviewed. The thematic analysis of the interviews resulted in one overarching theme-mothering in the context of uncertainty: unbalancing and rebalancing as mothers, and three major themes: disrupted mothering, reconfigured mothering, and resolute mothering. The findings suggested participants experienced difficulties in separating their professional role from their maternal responsibilities. The mothers gained expertise by using their dual knowledge to advocate for and support their children's mental health. The mothers' dual roles had a positive impact on their relatedness to others within their professional practice. Health care organizations might benefit from the expertise of health professionals with dual roles in the development of support, care, treatment, and delivery of services for people and their family members who live with schizophrenia.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.346
GPT teacher head0.606
Teacher spread0.260 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations7
Published2020
Admission routes1
Has abstractyes

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