Sites for Discussion, Citizenship Education and Pathbuilding: Challenging the Fear of Controversy in the Adult EAL Classroom
Bibliographic record
Abstract
This paper explores an integrated approach to citizenship education through English-as-an-Additional Language (EAL) instruction for adults who are new immigrants to Canada. Teaching for citizenship and participation in Canadian democractic processes sometimes involves discussing non-consensual issues such as same-sex unions, human rights, and religious freedoms. The result is discussions that can be fraught with conflict and tension, posing challenges and feelings of unease for teachers and learners. Therefore, an integrated approach to citizenship education also requires considering theories on dialogue and communicative engagement. Following a discussion on issues of citizenship education for newcomers to Canada and the possibilities of an integrated citizenship program, this paper concludes with a brief exploration of the work of Gloria Anzaldua and Susan Bickford for inspiration on ways to engage with non-consensual issues that pose challenges for EAL learners and teachers.
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.062 | 0.049 |
| Scholarly communication | 0.025 | 0.015 |
| Open science | 0.003 | 0.026 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.008 | 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".