Youth leadership and global citizenship: alternatives for peacebuilding in Brazilian public schools
Bibliographic record
Abstract
Abstract Peace is a social construct that demands a process of individual and collective awareness and commitment for the construction of a fairer and more inclusive world. The University and the school, as formal educational spaces, have a great potential as peacebuilders. This article discusses these two arguments from fragments of an experience held in two public schools from Distrito Federal. It was conducted by the Unesco Chair on Youth, Education, and Society (Catholic University of Brasília – UCB) from 2015 to the present. The first part discusses the current context of young people from the theoretical lens of global citizenship and the centrality of youth leadership and empowerment in the process of peace building. The second part emphasizes the role of the university and the public school in the construction of networks that act proactively in the citizenship education of young people, preparing them for facing situations of violence and intolerance. The final part of the article looks at the experiences of the last three years, examples of successful educational practices that have the potential to act in the prevention of school violence and in the construction of an inclusive and emancipatory global citizenship. The study shows that Unesco’s principles of education for peace and global citizenship are important alternatives for the promotion and building of peace.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".