[The mental health promotion of children and teenagers in vulnerability and social violence: the challenges for an intersectoral network].
Bibliographic record
Abstract
This paper presents and discusses the results of an intervention research conducted in Ouro Preto, Brazil from August 2014 to March 2016. The main objective was to contribute to the development of an intersectoral and interdisciplinary network to face psychosocial vulnerabilities of children and teenagers, especially related to sexual violence and drug use. To achieve this, we identified the difficulties faced by the Sistema de Garantia de Direitos Humanos da Criança e do Adolescente (SGDHCA) implemented by the municipality which take care of this population. We also identified protective and promotion factors accomplished to empower them. The methodology used combines Deleuze and Guattari Cartography, Institutional Analysis and the Cross Training. This latter methodology was developed by a group of researchers of Douglas Institute, in Montreal, which we met through scientific co-operation with our laboratory. On account of the practical-theoric and co-participative activities with the professional network of Ouro Preto, we produced a detailed diagnosis of the SGDHCA and a document proposing short, medium and long-term strategies. As final result, we intend to help the local collective-the Forum Intersetorial da Infância e Juventude-to develop a work plan from the proposed actions. In this paper we will concentrate the potential of the methodology used by presenting outcome from two important moments of the research: the discussions of successful and unsuccessful cases that elucidate the network operation and the potential and difficulties arising from the Rotation Positional, important technical of the Cross Training.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".