Dialogical spaces of encounter with youth: addressing racism and discrimination through human rights education
Bibliographic record
Abstract
This article explores the significance and layers of dialogical spaces of encounter that emerged through a human rights education (HRE) programme with racialised youth in Canada. Three dialogical spaces were identified: within the self, with others, and with the broader systems perpetuating racism and discrimination. Through multi-layered dialogical spaces of encounter, young people shared reflections and raised provocative questions about individual and systemic forms of oppression that helped foster more diverse and generative narratives about human rights. This re-claiming and authoring enabled exchanges of perspectives, informing a critical HRE that surfaced alternative ways of doing. Such dialogical spaces support meaningful participation for young people to engage with adults in problematising and surfacing possibilities for realising rights. Our study suggests that the transformational potential of HRE calls for programming to uphold spaces that are interrogative and continuous as young people and adults dialogue towards equality, non-discrimination and inclusion.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".