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Record W2326980162 · doi:10.2975/29.2005.18.24

How do People Who Receive Assertive Community Treatment Experience this Service?

2005· article· en· W2326980162 on OpenAlex
Terry Krupa, Shirley Eastabrook, Louise Hern, Diane Lee, R J North, Karen Percy, Barbie Von Briesen, Geoff Wing

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2005
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsQueen's University
FundersCanadian Mental Health Association
KeywordsAssertive community treatmentAutonomyNegotiationService (business)Mental illnessPsychologyInclusion (mineral)Participatory action researchPublic relationsNursingMental healthMedicineSocial psychologyPsychotherapistSociologyPolitical scienceBusinessMarketing

Abstract

fetched live from OpenAlex

Using a participatory research approach this study examined Assertive Community Treatment as experienced by service recipients. Overall participants were positive about their involvement with ACT and their experiences reflected critical ingredients of the model. The analysis revealed seven ways the ACT promoted community adjustment. Unhelpful aspects of the experience included staff requiring more training in particular service areas, conflicts over money and medications, stigmatizing aspects of the service, and authoritative practices of individual staff. Services promoting community participation were less well-developed than clinical approaches. Tensions inherent in receiving ACT services were related to the participants' negotiation of personal and social consequences of mental illness while striving for autonomy, community participation and inclusion.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.111
GPT teacher head0.423
Teacher spread0.312 · 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