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Record W3131014009 · doi:10.18554/refacs.v9i1.5193

Psicodiagnóstico com crianças e adolescentes em situação de acolhimento institucional: estudo documental com laudos psicológicos

2021· article· pt· W3131014009 on OpenAlexaff
Érica Prates Krás Borges, Chrystian da Rosa Kroeff, Euclides José de Mendonça Filho, Denise Balem Yates

Bibliographic record

VenueRevista Família Ciclos de Vida e Saúde no Contexto Social · 2021
Typearticle
Languagept
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophyPhysics

Abstract

fetched live from OpenAlex

Estudo documental, com delineamento qualitativo, realizada entre 2011 a 2016 num serviço-escola universitário especializado em avaliações psicológicas do Rio Grande do Sul, com o objetivo de descrever o processo de avaliação psicológica e as particularidades do processo psicodiagnóstico de crianças e adolescentes em situação de acolhimento institucional. Considerou-se nove laudos psicológicos de pacientes de 7 a 18 anos, interpretados através de análise temática. A categorização dos dados resultou em cinco temas: Avaliação, Paciente, Família, Aspectos Cognitivos e Aspectos Socioemocionais. Observou-se na avaliação psicológica: dificuldades nos cuidados exigidos durante o processo, na coleta de informações pregressas em especial acerca do histórico familiar e, alto número de encaminhamentos. Ao psicólogo cabe o esforço de realizar avaliação que contemple a criança ou adolescente em suas particularidades, adaptando o processo as suas necessidades e tentando ao máximo ser justo em seu parecer. Ter sido exposto a tantas condições adversas de vida e saúde, desde o nascimento, gera impactos negativos significativos que requerem um olhar atento, de compreensão e de cuidado.

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)0.010
metaresearch head score (Gemma)0.027
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.027
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0040.003
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.353
Teacher spread0.307 · 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

Citations27
Published2021
Admission routes1
Has abstractyes

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