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Record W7010590631

Instruments for family assessment and intervention: a descriptive study

2010· article· pt· W7010590631 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório Comum (Repositório Científico de Acesso Aberto de Portugal) · 2010
Typearticle
Languagept
FieldMathematics
TopicProbability and Statistical Research
Canadian institutionsnot available
Fundersnot available
KeywordsDescriptive researchQualitative researchQuality (philosophy)Data collectionProcess (computing)
DOInot available

Abstract

fetched live from OpenAlex

Introdução. Avaliação e a intervenção familiar são importantes processos para o planejamento do cuidado em saúde. Esta constatação norteou o seguinte questionamento: Que instrumentos estão disponíveis para avaliação e intervenção na família? Objetivos. Realizar levantamento bibliográfico de instrumentos para avaliação e intervenção na família; contextualizar pressupostos e utilização dos mesmos. Métodos. Pesquisa bibliográfica de natureza descritiva. A busca foi limitada aos textos disponíveis no Banco de Teses e Dissertações da CAPES e do Lilacs da BVS. Foram encontrados 159 estudos. Resultados. A medicina privilegiou aspectos de avaliação e a enfermagem dirigiu os estudos para intervenção familiar. O APGAR e o Modelo Calgary foram os instrumentos mais utilizados. Conclusões. Cabe aos profissionais um olhar para além dos instrumentos de avaliação e intervenção familiar aqui relacionados e mencionados e considerar a família como sistema dinâmico e complexo que exige daqueles que nela atuam formas dinâmicas de avaliação e intervenção.

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)0.020
metaresearch head score (Gemma)0.055
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 score0.020
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.055
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.006
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.056
GPT teacher head0.385
Teacher spread0.329 · 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
Published2010
Admission routes1
Has abstractyes

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