“We Must Look at Both Sides”—But a Denial of Genocide Too?: Difficult Moments on Controversial Issues in the Classroom
Bibliographic record
Abstract
In language education, controversial issues sometimes emerge in either planned or spontaneous ways. Based on a classroom episode, this article illuminates dilemmas of approaching controversial issues for teachers who embrace critical pedagogy. A review of interdisciplinary literature demonstrates a general agreement on presenting balanced views while exhibiting disagreements on teacher neutrality. While advocates of critical pedagogy may not support maintaining an absolute balance or teacher neutrality, their progressive stance, just as a conservative one, may lead to the imposition of ideas. Although a poststructuralist approach, which views all knowledge as legitimate for examination with contextual relativity, might be a solution, it sometimes contradicts support for social justice. This paradox parallels a rift between theory and practice as seen in the criticisms of postcolonial/poststructuralist theory. It suggests that a focus on not only open attitudes and knowledge deconstruction but also affective dimensions with imagination and hyper-self-reflexivity broadens pedagogical possibilities.
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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 | 0.017 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.078 |
| Scholarly communication | 0.013 | 0.021 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.002 | 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".