Dissolução da adoção: mapeamento de dados no estado do Rio Grande do Sul
Bibliographic record
Abstract
Adoption is understood in the Brazilian context as an exceptional and irrevocable act.Statistical data show numbers of adoptions, but there are no official statistics on the return of children/adolescents to institutional care after adoption, even though research indicates the occurrence of the phenomenon.This study sought to map the occurrence of the phenomenon of adoption dissolution in the state of RS between the years 2018 and 2020.This is a descriptive and documental analysis research, analyzing eight processes in which children/adolescents returned to institutional care after the legalization of adoption.Data were made available by the CIJ-RS, referring to all reported cases.Descriptive analyzes were performed in order to present the mapping of the characteristics of the cases.The results showed that there is non-compliance with what is provided for in the legislation in different areas, especially in the referrals given after the dissolution of the adoption.Further studies on adoption dissolution at the national level are suggested.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".