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Record W7018928841

Famílias de usuários de bebida alcoólica: aspectos estruturais e funcionais fundamentados no Modelo Calgary*

2019· other· pt· W7018928841 on OpenAlexaboutno aff

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2019
Typeother
Languagept
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Initial trainingIdentification (biology)
DOInot available

Abstract

fetched live from OpenAlex

"Objetivo descrever os aspectos estruturais e funcionais e as redes de apoio e sustentação de famílias que convivem com usuários de bebida alcoólica.Métodos estudo descritivo de corte transversal, referencial metodológico do Modelo Calgary de Avaliação da Família, a partir de entrevistas semiestruturadas, com as ferramentas genograma e ecomapa, realizadas com familiares de quatro trabalhadores da construção civil internados por agravos ligados ao uso de bebida alcoólica, e notificados a um centro de informação e assistência toxicológica.Resultados houve redução dos filhos entre as gerações, mas o uso de drogas esteve em expansão nas famílias. Foram encontradas relações familiares distantes e conflituosas. A rede de apoio da vizinhança foi apontada com vínculo forte, porém o apoio da Atenção Primária da Saúde consistiu vínculo fraco.Conclusão a avaliação estrutural e funcional das famílias propiciou conhecimento para processos de promoção, tratamento e recuperação da saúde, para restabelecer as relações familiares fragilizadas."

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)0.002
metaresearch head score (Gemma)0.006
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 score0.074
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.244
Teacher spread0.225 · 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
Published2019
Admission routes1
Has abstractyes

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