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Transformando um Mundo Selvagem: Ajudando Crianças e famílias em Face à Negligência na Província de Quebec, Canadá

2019· article· pt· W2966846730 on OpenAlexaffabout
Carl Lacharité

Bibliographic record

VenuePsicologia em Revista · 2019
Typearticle
Languagept
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesFace (sociological concept)PsychologyDevelopmental psychologySociologyPhilosophy

Abstract

fetched live from OpenAlex

A Negligência é um problema social complexo, com graves consequências para o cumprimento das necessidades de uma criança, pelos adultos que compõem a família da criança e da rede social - não só pais, mas outros adultos que entram em contato com a criança (incluindo profissionais). Os sistemas de proteção da criança tem dificuldade em identificar e criar programas de atendimento pela complexidade das relações sociais envolvidas. Na verdade, eles apresentam uma tendência a concentrar-se sobre as deficiências dos pais em relação à sua responsabilidade para com os seus filhos. Este artigo descreve a fundamentação teórica de um modelo ecossistêmico e de desenvolvimento que tem como base os serviços integrados de negligência infantil em Quebec, no Canadá. Também descreve os componentes e atividades que visam operacionalizar esse modelo ecossistêmico e o modelo de desenvolvimento de negligência infantil.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.077
Threshold uncertainty score0.556

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0190.006
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.277
Teacher spread0.257 · 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 routes2
Has abstractyes

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