Educating for Citizenship in the English Secondary Classroom: A Case Study of Teacher Perspectives and Practice in Public and Islamic Schools in Ontario
Bibliographic record
Abstract
This thesis explores the extent to which English curriculum, teachers’ literary choices, and a high demographic of Muslim students, influence the way English teachers educate for citizenship, in public and Islamic schools in Ontario. The three aspects this thesis examines are the following: how English teachers conceptualize citizenship education using informed, purposeful, and active citizenship learning expectations; in what ways their practice and literary choices enhance dimensions of citizenship education; and to what extent the English citizenship educator provides an inclusive space for Muslim perspectives. While the study shows that English teachers were successful at infusing purposeful citizenship, the study suggests that a more explicit link is needed in curriculum and in teacher practice, to inculcate informed and active citizenship outcomes in English. This study also implies, that teachers’ specific literary choices coupled with a citizenship education pedagogy, provides a more inclusive space for Muslim hybrid identities in English.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".