Citizenship education and the promise of democracy: A study of UNESCO Associated Schools in Brazil and Canada
Bibliographic record
Abstract
With current manifestations of globalization creating local problems, including widening equity gaps, increased environmental destruction and burgeoning poverty, many policymakers, civil society, organizations and educators are seeking models of education that promise social justice and a democratic public sphere that reflects more than democracy of and for elites. This study of UNESCO Associated Schools, located in Brazil and Canada, identified how educators negotiate contradictory global agendas and employ UNESCO ideals of a peaceful world, human rights and democracy, and a healthy environment to create a platform for citizenship education. While there is no package of liberation and transformational education that comes with being a UNESCO Associated School, there is encouraging evidence that educators are working in creative and critical ways to educate toward more engaged citizens who are capable of contributing to a strengthened public sphere. This article compares the Brazilian and Canadian experiences with the UNESCO Associated Schools project, and examines both commonalities and differences. While global neoliberalized governance structures define much of what happens even in local contexts, the schools in this study demonstrated innovative ways in which citizenship education can be a pathway to understanding and resisting destructive global agendas while, simultaneously, maintaining a critical global awareness and citizenship engagement. Recommendations are made for citizenship education that prepares activist citizens to participate in a pubic sphere that challenges normative elitism and opens possibilities for a justice to be the common foundation of public engagement.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.034 | 0.008 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".