Reservationization: After This Nothing Happened.
Bibliographic record
Abstract
There are many answers to why Indigenous youth take their own lives; research is showing us that when we look back, we can find our way forward. Plenty Coups was born in 1848, and although his “life ended” in his early twenties after the buffalo died, he went on to garner many achievements and lived to be 84 years old. After the buffalo died, the lack of understanding and honest empathy between Euro-Canadian and Indigenous peoples, the steady decline of deep community connections, the loss of multiple generations of children to social services, and the ensuing violence, generated what Michael Lerner termed, “surplus powerlessness” across many territories, leaving next generations bereft. A decline caught and sometimes exploited by anthropologists like Abraham Maslow. Today, Indigenous peoples are healing the trauma, resolving their grief and reclaiming their cultural and ceremonial practices in day-to-day life. Indigenous children are being raised at the drum, singing the songs of their ancestors, correcting anthropological narratives, and telling their own stories. Something is happening, and the reclamation of our languages, values and cultural knowledge is restoring positive meaning to the lives of our children, and they will live, and Indigenous peoples will be here to fight another day.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.010 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".