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Record W2577116984

Gestão Autônoma da Medicação (GAM)

2015· article· pt· W2577116984 on OpenAlexaboutno aff
Telessaúde Sc

Bibliographic record

VenueDSpace (Federal University of Santa Catarina) · 2015
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNomaComputer scienceTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

Os movimentos da Reforma Psiquiátrica têm conquistado grandes avanços, como a redução de leitos em hospitais psiquiátricos e o retorno à vida na comunidade de pessoas com longo histórico de internações, valorizando a integração comunitária a partir do entendimento ampliado de saúde e da participação de vários segmentos institucionais. Porém, enfrenta-se o desafio de que o tratamento baseado em medicamentos – ou fármacos – ainda é o mais utilizado, colocando em segundo plano outras formas de “cuidar”, baseadas nas relações e nos afetos. A Gestão Autônoma da Medicação (GAM) propõe uma metodologia de ampliação de direitos, baseada na problematização, para ampliação de conhecimento sobre efeitos desejados e indesejados dos psicotrópicos, gerando co-participação entre usuários, familiares e trabalhadores, emancipação e ampliação da cidadania. A proposta inicial foi desenvolvida em Quebec, Canadá e trazida para o Brasil a partir de um projeto de pesquisa financiada pelo CNPq, com a participação de quatro universidades brasileiras (UNICAMP, UFRJ, UFF, UFRGS).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.281
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.180
GPT teacher head0.319
Teacher spread0.139 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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