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O cotidiano institucional do Método Mãe Canguru na perspectiva dos profissionais de saúde

2011· article· pt· W2051970087 on OpenAlexaff
Renata Meira Véras, Martha Traverso-Yépez

Bibliographic record

VenuePsicologia & Sociedade · 2011
Typearticle
Languagept
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsEthnographySociologyPower (physics)HumanitiesPolitical sciencePublic relationsPhilosophyAnthropology

Abstract

fetched live from OpenAlex

O Método Mãe Canguru apresenta-se como uma política de humanização hospitalar. Este estudo analisou a dinâmica institucional que permeia o funcionamento do Método Mãe Canguru na perspectiva dos profissionais de saúde, a partir da perspectiva da Etnografia Institucional. A pesquisa mostrou que embora alguns profissionais se diferenciem no tratamento com as usuárias, a maioria deles desconsidera o papel ativo da mãe nesse método de intervenção, utilizando o poder institucional como forma de controle social para manter as mães desinformadas sobre a possibilidade de deixar a maternidade. Ressalta-se, assim, que a implantação desse programa requer não só o treinamento da equipe, devendo ser levado em consideração a complexidade social, econômica e emocional dos profissionais e as limitações estruturais do sistema de saúde pública.

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)0.009
metaresearch head score (Gemma)0.021
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0050.008
Scholarly communication0.0090.005
Open science0.0020.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.127
GPT teacher head0.390
Teacher spread0.263 · 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".

Quick stats

Citations2
Published2011
Admission routes1
Has abstractyes

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