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Record W2323543828 · doi:10.7870/cjcmh-2000-0001

Using Popular Education Groups: Can We Develop A Health Promotions Strategy for Psychiatric Consumers/Survivors?

2000· article· en· W2323543828 on OpenAlexaffvenue
Lea Caragata

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsEmpowermentMental healthHealth educationHealth carePsychiatryPsychologyProcess (computing)Public relationsNursingBusinessEconomic growthMedicinePolitical scienceEconomics

Abstract

fetched live from OpenAlex

It is widely acknowledged that health derives from a myriad of factors including economics, education, housing, and social support (Sidell et al., 1997). In short, health care, although dominant in North America, represents only one approach to health. The paper suggests utilizing the theory of Paulo Freire (1971) concerning adult and popular education to support the empowerment of psychiatric consumers/survivors with regard to their health. The paper theorizes that, as psychiatric consumers are supported to 'own' their health through a process of mutual aid, they will be more able to become partners in managing not only their psychiatric illness but their health. The paper argues that it is incumbent upon traditional mental health services as well as community innovators to undertake these facilitative roles. More generally, the paper suggests that a health promotions/health determinants approach can be efficacious in improving the health of other high-risk/high-use health care groups, and that we must direct concerted efforts to reduce the marginalization experienced by so many of our citizens.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.157
GPT teacher head0.442
Teacher spread0.285 · 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

Citations2
Published2000
Admission routes2
Has abstractyes

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