MétaCan
Menu
Back to cohort

Selling the private asylum: therapeutic landscapes and the (re)valorization of confinement in the era of community care

2006· article· en· W2044032605 on OpenAlexaffabout
Graham Moon, Robin Kearns, Alun E. Joseph

Bibliographic record

VenueTransactions of the Institute of British Geographers · 2006
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsHealth careMental healthMental health carePrivate sectorPolitical scienceMedicinePsychiatryLaw

Abstract

fetched live from OpenAlex

This paper examines the role of place in the positioning and survival of the contemporary private asylum. While community care is now the dominant mental health care modality in most Western health economies, some asylum care has survived, often in the private sector, catering for a clientele able and willing to pay for a non‐standard approach to care. We consider how landscapes, buildings and services provide a basis for marketing and selling asylum care. Drawing on fieldwork, documentary analysis and visual evidence, we analyse the representational strategies of the Homewood Health Centre Inc. (Ontario, Canada), the Ashburn Private Psychiatric Clinic (Dunedin, New Zealand) and the acute psychiatric hospitals within the Priory Group (UK). The paper draws conclusions about the role of therapeutic landscapes in the contemporary asylum, place marketing and the (re)valorization of historical ideas of asylum.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.061
Scholarly communication0.0110.007
Open science0.0010.008
Research integrity0.0020.003
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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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 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

Citations53
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueTransactions of the Institute of British GeographersSame topicHistorical Psychiatry and Medical PracticesFrench-language works237,207