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Record W2597433417

Laboratório in vita: autonomias em ato em saúde mental

2016· article· pt· W2597433417 on OpenAlexaboutno aff
Marciana Zambillo, Analice de Lima Palombini

Bibliographic record

VenueLume (Universidade Federal do Rio Grande do Sul) · 2016
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

No Brasil, o campo da saude mental, adota o conceito de ‘autonomia’ e tem por ele apreco, conforme explicitado em grande parte das politicas publicas da area, sem, no entanto, descrever ou problematizar o termo. Em geral, se pressupoem um entendimento a priori ou naturalizado de ‘autonomia’. Pretende-se, a partir de um laboratorio de imersao, problematizar os usos e possibilidades do conceito de autonomia em saude mental, tomando-o como ato/performance. Por laboratorio de imersao, entendemos uma viagem a Montreal-CA durante quinze dias, em novembro de 2013, realizada por dez pessoas, entre familiares, usuarios de saude mental e discentes das universidades envolvidas na pesquisa e estrategia Gestao Autonoma da Medicacao (GAM). A GAM aposta em uma metodologia participativa de se fazer pesquisa e saude mental, considerando todos os seus participantes como pesquisadores e esfumacando o lugar de sujeitos de pesquisa. Em afinidade com esta proposta, adotamos, para analise da experiencia deste laboratorio, a metodologia cartografica, a dissolucao do lugar do pesquisador, a valorizacao da experiencia encarnada. A partir desse laboratorio in vita, construimos um blog disponibilizado ao publico, um curta-metragem para exibicao na Semana do Audiovisual (SEDA), atualmente tambem disponivel ao publico no youtube, e uma narrativa coletiva. Foram tentativas de colocarmos em questao a performatividade assumida pela autonomia e o tensionar ocasionado pela acao de ‘falar por si’ como forma de autonomizacao na construcao de conhecimento, tal qual usado na estrategia/pesquisa GAM. Portanto, o trabalho que segue e composto tambem de fotografias, links para videos e blog feitos coletivamente.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.651

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.006
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.025
GPT teacher head0.317
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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