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Record W2073640316 · doi:10.2975/29.2005.142.145

How the PACE Program Builds a Recovery-Transformed System: Results from a National Survey.

2005· article· en· W2073640316 on OpenAlexaboutno aff
James H. Zahniser, Laurie Ahern, Daniel Fisher

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2005
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsPacePsychologyComputer scienceProcess managementBusinessGeography

Abstract

fetched live from OpenAlex

The PACE/Recovery Program (Personal Assistance in Community Existence) is based on a comprehensive set of principles and approaches for facilitating people's recovery from severe emotional distress and psychiatric disability. The PACE Program utilizes an empowerment model of recovery and builds on and incorporates a number of research findings. A core, research-based assumption is that people can and do recover from even the most serious psychiatric disabilities. The survey included both closed and open-ended questions. Respondents were from 28 different U.S. states and from various provinces in Canada. A strong majority of respondents indicated that the PACE Program had changed their thinking in the direction of increased hope. Many stakeholders who believe in recovery and empowerment approaches may sometimes feel isolated in their views. Future Directions for the PACE/Recovery Program With this evidence that the PACE/Recovery principles positively affected peoples' attitudes towards recovery, there have been requests for an implementation.

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 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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.119
GPT teacher head0.413
Teacher spread0.293 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations8
Published2005
Admission routes1
Has abstractyes

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