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Record W2341017080 · doi:10.17665/1676-4285.20165231

Avaliação de famílias com mais de uma mulher mastectomizada: estudo de caso

2016· article· pt· W2341017080 on OpenAlexaboutno aff
Patrícia Peres de Oliveira, Elaine Cristina Rodrigues Gesteira, Edilene Aparecida Araújo da Silveira, Lorena Amaral, Maysa Mayran Chaves Moreira, Andrea Bezerra Rodrigues

Bibliographic record

VenueOnline Brazilian Journal of Nursing · 2016
Typearticle
Languagept
FieldMedicine
TopicWomen's cancer prevention and management
Canadian institutionsnot available
Fundersnot available
KeywordsFamily healthStrengths and weaknessesQualitative researchPsychologyMedicineSociologyNursingSocial psychologySocial science

Abstract

fetched live from OpenAlex

Objetivo: avaliar a estrutura, o desenvolvimento e a funcionalidade de famílias com mais de uma mulher com neoplasia maligna da mama e mastectomizada. Método: estudo qualitativo com base teórica nas categorias estrutural, desenvolvimental e funcional, propostas pelo modelo Calgary e com estudo de caso como estratégia metodológica. Os dados foram coletados por meio de visitas domiciliares junto a 10 famílias com mulheres mastectomizadas, no período de agosto de 2014 a fevereiro de 2015. Resultados: subsistemas conflituosos estiveram presentes apenas em duas famílias e todas apresentaram em sua rede de apoio elementos oriundos de outros sistemas que não o familiar, como vizinhos e instituições de saúde. No processo de assistência, o vínculo estabelecido, o apoio e o acompanhamento frequentes contribuíram para amenizar algumas dificuldades. Conclusão: acredita-se que o modelo Calgary possibilitou uma visão ampliada da família, compreensão das relações internas e externas, e busca de equilíbrio entre as fragilidades e fortalezas

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.340
Teacher spread0.309 · 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 designOther design
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
Published2016
Admission routes1
Has abstractyes

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