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Família e redes sociais de apoio para o atendimento das demandas de saúde do idoso

2010· article· pt· W2095532299 on OpenAlexaboutno aff
Fernanda Rochelly do Nascimento Mota, Edmara Teixeira Oliveira, Marília Braga Marques, María Eliana Peixoto Bessa, Bruna Michelle Belém Leite, Maria Josefina da Silva

Bibliographic record

VenueEscola Anna Nery · 2010
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

A proposta foi avaliar as redes sociais de apoio das famílias com idosos segundo o modelo Calgary de avaliação de família (MCAF). Estudo quantitativo do tipo transversal de caráter exploratório e descritivo, desenvolvido juntos às famílias com idosos residentes em bairros periféricos de Fortaleza-CE, de novembro/2008 a janeiro/2009. Dados obtidos de 218 famílias através de entrevista em domicílio ao responsável pelos cuidados da família. Nas redes sociais de apoio, a atuação do enfermeiro foi bastante expressiva (32,1%); em situação de doença, a demanda de apoio de outros foi de 68,3% e a da família em apoio a outros foi de 76,6%. Quanto à ajuda financeira, percebe-se que 58,7% afirmam fazê-la; no entanto, apenas 36,2% pedem esse tipo de ajuda. A estrutura de família com idosos merece atenção na busca por conhecimentos científicos diante do holismo para subsidiar a prática profissional do enfermeiro.

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)0.005
metaresearch head score (Gemma)0.014
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.053
GPT teacher head0.438
Teacher spread0.385 · 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

Citations15
Published2010
Admission routes1
Has abstractyes

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