AUTONOMIA DAS CRIANÇAS VERSUS CONTROLE INSTITUCIONAL: UMA ANÁLISE DA AGÊNCIA INFANTIL EM UMA CASA ABRIGO DE IMPERATRIZ
Bibliographic record
Abstract
Esta pesquisa dedica-se à análise da construção da autonomia infantil em crianças em situações de abrigo. As Casas Abrigo são espaços cuja organização repousa no excesso de regras e controle do tempo, do espaço e das ações infantis. Logo, esta pesquisa dedicou-se a investigar as estratégias através das quais as crianças - da Casa da Criança em Imperatriz, Maranhão – constroem sua individualidade junto ao grupo. Embora nestas instituições o controle excessivo não deixe espaço para a agência infantil, as crianças criam estratégias para garantir sua autonomia, burlando as regras estipuladas. Ora, em que situações as crianças fazem escolhas, se vivem sob constante observação dos cuidadores? De que forma imprimem suas impressões e sua individualidade? Este artigo mergulha no universo das crianças em situação de abrigo e revela seu modo de transformar um contexto de institucionalização em lar, marcando-o com sua agência. Este é um empreendimento etnográfco em construção.Palavras-chave: Infância. Abrigo. Agência. Autonomia. Individualidade.CHILDREN’S AUTONOMY VERSUS INSTITUTIONAL CONTROL: AN ANALYSIS OF CHILDREN’S AGENCY AT A SHELTER HOME IN IMPERATRIZ CITYAbstractThis research analyzes the construction of children’s autonomy in shelter situations. Shelter Homes spaces are organized based on an excess of rules controlling children’s time and space, as well as their actions.Therefore, this research focused on investigating the strategies used by children – from Casa da Criança in Imperatriz, in Maranhão – to build their individuality in the group. In these institutions, even though the excess of control leaves no room for children’s agency, children create strategiesto guarantee their autonomy by circumventing the stipulated rules. Well, in what situations do children make choices if they live under constant observation of caregivers? How do they record their impressionsand their individuality? This article delves into the world of sheltered children and reveals their way of transforming an institutionalizationcontext into a home, marking it with their agency. This is an ethnographicaction under construction.Keywords: Childhood. Shelter. Agency. Autonomy. Individuality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".