Bibliographic record
Abstract
In 2015, the Truth and Reconciliation Commission of Canada (TRC) concluded that Canada had committed “cultural genocide” in government-supported residential schools that aimed to forcibly assimilate First Nations peoples since the nineteenth century. The TRC’s finding of cultural genocide in Canada can inform our understanding of American Indian boarding schools in the U.S. given the similarities and connections between the two systems. Both countries founded their schools with the aim of achieving total assimilation, or cultural genocide. Both, however, did much more than forcibly assimilate Indigenous youth. At the root of U.S. and Canadian Indigenous education project rests a genocidal truth: they may have committed all of the genocidal crimes enumerated in the UNGC. School administrators held people year after year with full knowledge of how lethal the schools were and an explicit plan to commit cultural genocide. This chapter demonstrates how scholars of the American Indian boarding schools can learn from the TRC, consider how we may evaluate the schools under the UNGC, and ultimately conduct additional data-gathering in order to reach a better understanding of what happened in these institutions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.024 | 0.006 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.038 | 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".