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Record W2060292390 · doi:10.1521/psyc.2009.72.3.284

The Changing Role of Mother of the Mentally Ill: From Schizophrenogenic Mother to Multigenerational Caregiver

2009· review· en· W2060292390 on OpenAlexaff
Mary V. Seeman

Bibliographic record

VenuePsychiatry · 2009
Typereview
Languageen
FieldPsychology
TopicFamily Caregiving in Mental Illness
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMentally illPsychologyPsychiatryDevelopmental psychologyMental healthMental illness

Abstract

fetched live from OpenAlex

Psychiatry's understanding of the contribution of mothers to mental illness has markedly changed over the last 60 years, evolving from a view that mothers were to blame for everything, passing through a subsequent period when mothers were seen less as instigators of illness and more as provocateurs, inducing relapse through the expression of criticism and hostility. Currently, mothers are mainly viewed as "burdened caregivers." Because psychiatric patients no longer live in asylums and no longer are prescribed first generation antipsychotics that used to render them effectively sterile, more and more women with schizophrenia are bearing children-children that their mothers, more often than not, raise. This paper is about caregiving by grandmothers, especially as this pertains to daughters with schizophrenia and especially as it impacts on the grandmother's health and well-being. The role of the grandmother is characterized by divided loyalties, by the toll of caregiving, but also, unquestionably, by the rewards that come with raising children. The experience of grandmothers makes them potent allies in the battle against mental illness in their children and the children of their children. Expanding on their existing role as caregivers, mothers of the mentally ill are evolving into auxiliary therapists.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.309
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations26
Published2009
Admission routes1
Has abstractyes

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