EDUCAÇÃO FINANCEIRA INFANTOJUVENIL: JOGOS EDUCATIVOS, METODOLOGIAS INOVADORAS E POLÍTICAS PÚBLICAS
Bibliographic record
Abstract
Modern consumption, driven by technological advancements and easy access to credit, has led to significant challenges, such as increased default rates and financial disorganization. This article highlights the importance of financial education from early childhood as an essential tool to foster cônscios consumption and responsible resource management. Through innovative methodologies, such as educational games and programs like “Aprender Valor,” children and adolescents have the opportunity to learn fundamental concepts of planning, saving, and credit use. The study also analyzes international experiences, such as those implemented in Finland, Canada, and Singapore, where integrating financial education into the school curriculum resulted in better academic performance and more conscious financial decisions. In the Brazilian context, the adoption of public policies and educational strategies is essential to reverse the scenario of debt and default. Financial education from an early age not only prepares young people for future financial challenges but also contributes to the country’s economic and social development by promoting a healthier and more sustainable relationship with money.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".