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Record W2027972142 · doi:10.1111/1467-9515.00241

Changing Places: Men Replace Women in Mental Health Beds in Britain

2001· article· en· W2027972142 on OpenAlexaff
Pauline M. Prior, Bernadette C. Hayes

Bibliographic record

VenueSocial Policy and Administration · 2001
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsQueen's University
FundersBritish Academy
KeywordsMental healthCensusContext (archaeology)GerontologyDemographyGeographyPsychologyMedicineSociologyPsychiatryPopulation

Abstract

fetched live from OpenAlex

Based on census materials collected in England and Wales from 1921 to 1991, this study focuses on gender differences in occupancy rates in hospitals and other mental health facilities in Britain. The results suggest that since 1991, or for the first time in the twentieth century, there are more males than females in residential mental health facilities in Britain. Furthermore, this pattern of association holds for all age groups except those aged 65 years and over. Second, there are currently two distinct subpopulations in mental health facilities—a male group which is predominantly of working age, and a female group, which is predominantly of retirement age. The existence of these two “care” populations will impact significantly on current and future resourcing of mental health services. The policy implications of the research findings are discussed within the context of the debates on the changing relationship between gender and mental health.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.051
GPT teacher head0.441
Teacher spread0.391 · 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 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

Citations9
Published2001
Admission routes1
Has abstractyes

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