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Family violence against children: approach to nursing through genogram and ecomapa / Violência familiar contra criança: abordagem de enfermagem através do genograma e ecomapa

2021· article· pt· W3202777873 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevista de Pesquisa Cuidado é Fundamental Online · 2021
Typearticle
Languagept
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsnot available
FundersUniversidade Federal FluminenseUniversidade do Estado do Rio de Janeiro
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Objetivos: descrever a organização familiar frente ao caso de violência contra a criança e analisar através da utilização do genograma e ecomapao risco de familiares em situação de violência. Método: estudo descritivo, tipo estudo de caso realizado no setor pediátrico de um Hospital Municipal da Baixada Litorânea do estado do Rio de Janeiro. Aplicado o Modelo de Calgary de avaliação de famílias. Resultados: através do genograma e ecomapa identificou-se a organização familiar, as relações familiares e as várias situações de violência vivenciadas pela criança e seus familiares. Conclusão: este estudo ratifica o papel da enfermagem na identificação de casos de violência, a importância destes profissionais em compreender a magnitude desta situação e seus desdobramentos no ambiente familiar. O enfermeiro deve desenvolver habilidades que protejam a criança e sua família em questões de violência intrafamiliar.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.391
Teacher spread0.338 · 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