Bibliographic record
Abstract
Abstract This note on human rights practice observes that some pedagogical methods in human rights education can have the effect of making human rights violations both seem to be performed by abnormal, bad actors and seem to occur in places far away from US classrooms. This effect is not intended by instructors; a methodological corrective would be helpful to human rights education. This note provides a corrective by suggesting two practices: (1) a pedagogical emphasis on what the Martinican philosopher Édouard Glissant calls ‘entanglements’, or the way in which normal, local actions are tied to global consequences in our contemporary world; and (2) a pedagogical exercise of performing a phenomenology of, or first-person reflection on, daily life as it relates to the Universal Declaration of Human Rights. The emphasis and exercise work together to implicate the actor in larger patterns of human rights violations and protections. Overall, the emphasis and exercise prevent an insidious insinuation of some human rights education: that human rights violations are to be theorized in the global North but suffered in the global South.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.032 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.020 | 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".