Critical Cosmopolitan Citizenship Education and the Ontario Curriculum
Bibliographic record
Abstract
Critical cosmopolitan citizenship education is a transformational approach to education that empowers students to become global citizens through active involvement in the local, national and global communities while seeking to build a better world. This study’s objective was to inquire about how Ontario’s official curriculum guides educators to prepare secondary students (Canadian born and those new to Canada) to become effective citizens of the 21st century. A critical discourse analysis was conducted to investigate the Ontario Ministry of Education’s (OME) approach to citizenship education within the frameworks of critical pedagogy and cosmopolitan citizenship education that encourage educators and students to respect human rights and become active citizens who strive towards peace and sustainability. The discourse analysis included two curriculum documents: (1) The Ontario curriculum grades 9 and 10: Canadian and World Studies (OME, 2018), which addresses civic education, and (2) The Ontario Curriculum Grades 9 to 12: English as a Second Language and English Literacy Development (OME, 2007), which prepares newcomers to improve their English proficiency. The findings confirm that the discourse produced by these documents aims to develop students’ understanding of the global world, but does not necessarily prepare them to act for the betterment of the planet. The findings further indicate that citizenship education in the 21st century should dissociate from a nation-centered approach and focus on preparing students for global citizenry.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".