Impartiality, human rights advocacy, and teaching about politically sensitive issues: Squaring the circle
Bibliographic record
Abstract
This article first describes and then proposes a practical solution to the professional dilemma between the duty of impartiality and the duty of human rights advocacy that many teachers experience when teaching and talking about politically sensitive issues with students. The article begins by presenting an analysis of the source and signification of the tension between impartiality and human rights advocacy based on evidence from research on teachers’ perspectives, the conceptual literature on teaching and learning about controversial issues, and the legal and ethical framework of education. Then, drawing on scholarship on respect for students’ right to freedom of religion, the article advances and defends set of basic pedagogical guidelines for teaching and talking about politically sensitive issues that permit teachers to maintain a professional stance of impartiality without abrogating their responsibility to act as human rights advocates. Key to squaring the circle between impartiality and human rights advocacy, the article argues, is for teachers to strive to remain descriptive in their treatment of politically sensitive issues and insist on high standards of reasoning and evidence while at the same time respecting students’ right to an opinion, no matter how mistaken that opinion may seem.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| 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".