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Record W2003002202 · doi:10.1037/h0094999

Sharing power and knowledge: Professional and mental health consumer/survivor researchers working together in a participatory action research project.

2002· article· en· W2003002202 on OpenAlexaff
Joanna Ochocka, Rich Janzen, Geoffrey Nelson

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2002
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsWilfrid Laurier UniversityCentre for Family MedicineCentre for Community Based Research
Fundersnot available
KeywordsParticipatory action researchEmpowermentMental healthAction researchCommunity-based participatory researchPsychologyCitizen journalismPublic relationsPower (physics)Process (computing)Action (physics)SociologyMedical educationMedicinePedagogyPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

In this article we document and reflect on the process and outcomes of consumer/survivor researchers' involvement in a community mental health research project. The study used a participatory action research approach that challenges traditional assumptions of how to conduct research. Research roles and relationships were reexamined by both professional and consumer/survivor researchers. Four values were central to the research process: consumer/survivor empowerment, supportive relationships, learning as an ongoing process, and social justice. The benefits of this value-driven approach were seen in terms of positive impacts on the lives of individual researchers and also in the quality of the research itself. Our reflections on the research process have led us to see the importance of building relationships as a means to share power and knowledge among professional and consumer/survivor researchers.

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)0.012
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.573
GPT teacher head0.574
Teacher spread0.000 · 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 designObservational
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

Citations111
Published2002
Admission routes1
Has abstractyes

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