Nonviolent Consciousness and the Pedagogy of Peace: Further Territories to Explore
Bibliographic record
Abstract
Karen Sihra and Helen Anderson alert us to how education commits pedagogical violence through dysconsciousness, arrogant perception, and normalization.By pedagogical violence they mean the serious harm we cause when we assume that our beliefs represent the whole truth, thereby erasing the insights of people who see things from other points of view.Mistaking partial knowledge for complete knowledge causes moral as well as epistemological harm when dominant perspectives function ideologically to legitimate structural and other systemic forms of oppression, in part by concealing how members of dominant groups both maintain and also benefit from the unjust status quo.Dysconsicousness, arrogant perception, and normalization also cause serious harm when the perspectives rendered invisible are wholly or partially constitutive of the subjectivities of people, whose existence is thereby denied recognition in the public sphere.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.050 |
| Scholarly communication | 0.010 | 0.019 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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".