“The Pandemic is Galvanizing Change”: Anti-Racism in Human Rights Education With Youth
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article discusses how the heightened visibility of racial discrimination coupled with the repression of young people’s civil and political rights during the COVID-19 pandemic is surfacing the need for human rights education (HRE) to evolve to address anti-racism more intentionally. With youth’s amplified awareness of racism and their call for change, HRE practitioners reflect on the use of language, the limitations of “celebrating diversity” and the ways spaces are held for youth engagement as a means of building inclusion given the lived injustices across communities. As children’s rights researchers and practitioners, we consider how our focus on age has resulted in the inadvertent neglect of the interdependence of the rights to participation and to non-discrimination. Shifting to a more critical HRE includes embracing intersectionality and reflexivity, actively bringing BIPOC youth to the centre of sharing and informing, and cultivating youth engagement on racial justice to catalyze systemic-level change.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it