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Uma interpretação dos cuidados corporais a partir dos usuários de um programa da rede pública de saúde na cidade de Vitória/ES

2016· article· pt· W2395256539 on OpenAlexaff
Thácia Ramos Varnier, Felipe Quintão de Almeida, Iván Marcelo Gomes

Bibliographic record

VenueMotrivivência · 2016
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

http://dx.doi.org/10.5007/2175-8042.2016v28n47p31Este artigo trata de temáticas relacionadas com a Educação em Saúde e o comportamento de risco. Teve como objetivo investigar como os usuários lidam com as informações que recebem de um programa de Educação em Saúde, oferecido nas Unidades Básicas de Saúde da cidade de Vitória no Estado do Espírito Santo/Brasil, voltado para a intervenção de indivíduos com sobrepeso e obesos. Os instrumentos metodológicos utilizados foram observação participante, entrevistas semiestruturadas e a experimentação da técnica Narrativas de Mapas Corporais. Após as análises, conclui que os indivíduos apresentaram comportamentos de conformidade ao absorverem e transportarem as condutas orientadas pelos especialistas para o seu cotidiano. Tal constatação pode estar atrelada ao fato de que, na sociedade contemporânea, o modelo de viver bem é o estilo de vida saudável, no qual a “naturalização” desses ideais acaba por contribuir na aceitação dessas normas ao acreditarem que essa seria a única forma correta de vida.

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)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.006
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.057
GPT teacher head0.387
Teacher spread0.330 · 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 designQualitative
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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