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Record W1907063404

The SUN Project: Open access community-based support groups for people with personality disorder description of the service model and theoretical foundations

2011· article· en· W1907063404 on OpenAlexaboutno aff
S J Miller, Barry Jones, Fiona C Warren

Bibliographic record

VenueSurrey Research Insight Open Access (The University of Surrey) · 2011
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsnot available
Fundersnot available
KeywordsEthosService (business)Mental healthQuarter (Canadian coin)Psychoanalytic theoryPsychologyPublic relationsMedicineSociologyPsychiatryPsychotherapistPolitical scienceBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

Previous investigations into concerns that people with a personality disorder (PD) may be excluded from treatment revealed that one quarter of Mental Health Trusts provided no service for this patient group (NIMHE (National Institute for Mental Health in England), 2003). It subsequently became a recommendation by the Department of Health (DH) that mental health trusts in England and Wales provide such services. In line with this recommendation the DH commissioned 11 new PD treatment services in England, without specifying the model of service to be used. This lack of specification was in recognition of the open state of the theoretical and evidence base for treatment of PD. In 2004, the Service User Network (SUN Project) was funded as one of these pilot services. The Sun Project adopts the ethos of the therapeutic community and draws upon cognitive theories and psychoanalytic understanding of PD. People who use it have been involved in the design, development and implementation of the service. This paper describes the replicable service model for community-based open access support groups for people with PD, and its theoretical underpinnings. © The Author(s).

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)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.381
GPT teacher head0.462
Teacher spread0.080 · 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
GenreOther

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

Citations5
Published2011
Admission routes1
Has abstractyes

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