An Ethnographic and Humanistic View: Does the BC Human Rights Tribunal Hold Promise for Indigenous People?
Why this work is in the frame
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Bibliographic record
Abstract
Abstract In this paper I consider if the BC human rights tribunal holds promise for Indigenous peoples or is best understood as Trojan horses that absorb the energies of people who have experienced discrimination and as state-centered institutions which are unable to engage with Indigenous values and practices. The data are derived from an examination of all decisions given by the British Columbia Human Rights Tribunal to sort out those brought by or against Indigenous people, interviews with tribunal members and human rights lawyers with tribunal experience, an examination of a seminal case, Radek, and published studies of Indigenous awareness of and attitude towards tribunals. I argue that the tribunal process fails Aboriginal peoples on several grounds and very few cases result in final decisions. But, significantly, the tribunal allows for transformational cases that substantively change the circumstances for Indigenous people of the province.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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