MétaCan
Menu
Back to cohort
Record W3035644757 · doi:10.3389/fpsyt.2020.00560

Editorial: From Residential Care to Supported Housing

2020· editorial· en· W3035644757 on OpenAlexaff
Angelo Barbato, Barbara D’Avanzo, Carol Harvey, Alain Lesage, Antonio Maone

Bibliographic record

VenueFrontiers in Psychiatry · 2020
Typeeditorial
Languageen
FieldPsychology
TopicPsychiatric care and mental health services
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
Fundersnot available
KeywordsPsychiatryPsychiatric rehabilitationSocial careRehabilitationSocial psychiatryPsychologyMedicineNursingMental healthMental illnessPhysical therapy

Abstract

fetched live from OpenAlex

From Residential Care to Supported Housing Residential care and supported housing are two models of accommodation for people with mental disorders in post-institutional mental health systems.In residential care, the emphasis is on treatment and rehabilitation provided by professionals in staffed facilities belonging to community psychiatric services, whereas in supported housing the emphasis is on outreach need-led support to people living on a permanent basis in their own home integrated in the community.The supported housing approach grew from a dissatisfaction with the original model of residential facilities, developed in the early wave of downsizing or closure of mental hospitals, based on the concept of a "linear continuum", in which persons were supposed to gradually progress from hospitals, through less supervised accommodations, halfway houses, group homes, to reach finally independent housing.However, this model failed in most cases to move people toward independent lives and trapped many people in small segregated residential settings.This was also due to the confusion between accommodation and care.Instead, a core aspect of the supported housing model is the separation between accommodation and treatment services.The papers by Farkas and Coe and by Dorvil and Tousignant-Groulx present conceptual and historical overviews of these developments in the USA and Canada, suggesting a number of relevant questions, addressed by other papers representing the multifaceted nature of community-based residential settings.The challenges to be met include the balance of isolation versus treatment and support (Fossey et al.; Dorvil and Tousignant-Groulx), the difficulties of assessing the effectiveness of supported housing models (Killaspy et al.), and the evidence that the recovery orientation of a residential facility is not linked to facility type (Rapisarda et al.; Fletcher et al.).All papers, taken together, point out that a new home represents a turning point for people with mental health problems.Arguably, access to adequate housing is both a human right and a necessary prerequisite for recovery.Worldwide surveys of mental health services and literature in the field both reveal an amazing array of residential solutions and a lack of agreement on the definition and classification of residential models (1).Although some recent proposals tried to lay the foundations for a coherent classification (2), this issue is still far from settled and is a barrier to practice, policy and 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 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)0.006
metaresearch head score (Gemma)0.031
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.031
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.002
Science and technology studies0.0050.003
Scholarly communication0.0100.007
Open science0.0040.002
Research integrity0.0220.023
Insufficient payload (model declined to judge)0.0260.021

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 head0.007
GPT teacher head0.309
Teacher spread0.303 · 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
GenreEditorial

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

Citations15
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in PsychiatrySame topicPsychiatric care and mental health servicesFrench-language works237,207