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Record W2404874820

La Guía de Gestión Autónoma de la Medicación: Una experiencia brasileña de participación social en salud mental

2016· article· es· W2404874820 on OpenAlexaboutno aff
Mercedes Serrano-Miguel, Marília Silveira, Analice de Lima Palombini

Bibliographic record

VenueDipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) · 2016
Typearticle
Languagees
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

"La Guia de Gestão Autônoma da Medicação (Guía GAM) es una experiencia de investigación de carácter cualitativo llevada a cabo conjuntamente por usuarios y profesionales del ámbito de la salud mental e investigadores universitarios. Desarrollada originariamente en Québec (Canadá), el artículo se centra en la experiencia de adaptación e implementación de la guía al contexto brasileño. La Guía GAM aborda la cuestión de la medicación antipsicótica y la posible gestión compartida del tratamiento por parte de los actores implicados. La metodología utilizada por la GAM propicia abrir un espacio de diálogo en relación al tratamiento farmacológico configurándose como una herramienta que permite alterar las relaciones de poder existentes en el ámbito de la atención a la salud mental, facilitando la participación y la implicación efectiva de los afectados en la toma de decisiones en relación con su proceso de atención. El artículo aborda asimismo el proceso de trasformación seguido por dicha experiencia desde sus inicios como investigación académica hasta su implementación en los servicios de atención a la salud mental del Estado de Rio Grande do Sul como herramienta de trabajo, incluyendo los desafíos y oportunidades que ello supuso."

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0010.003
Open science0.0030.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.348
Teacher spread0.334 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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