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Record W4382809850 · doi:10.34117/bjdv9n6-058

A psiquiatria forense e a violência no contexto intrafamiliar

2023· article· pt· W4382809850 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBrazilian Journal of Development · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsCascades (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

A violência intrafamiliar é um dos tipos de violência mais recorrentes na sociedade atual, da qual decorre crimes como o abuso sexual, feminicídio, entre outros. Nesse sentido, a psiquiatria forense é uma área que une os conhecimentos da Psiquiatria no ambiente jurídico, mas ainda é pouco explorada para a elucidação de crimes e casos onde ocorreu a violência intrafamiliar. Dessa forma, o presente trabalho tem por objetivo realizar uma revisão sistemática acerca da prática da psiquiatria forense no contexto da violência intrafamiliar a fim de mensurar seu papel e sua importancia nesses casos. Como objetivos específicos visa: identificar os fatores clínicos mais abordados para o enquadramento de violência intrafamiliar; identificar aspectos sociocomportamentais e a relação com a violência intrafamiliar; demonstrar quais os tipos de violência intrafamiliar mais se publicou nos últimos dois anos. Resultados preliminares indicam que o papel da Psiquiatria forense vai muito além do auxílio na resolução dos casos, pois é possível identificar aspectos comportamentais associados à transtornos mentais antes mesmo desses crimes acontecerem, prevenindo e ajudando a minimizar esse fenomeno recorrente no país.

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)0.004
metaresearch head score (Gemma)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.358
Teacher spread0.302 · 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