Bibliographic record
Abstract
Indian Residential Schools were apart of Canada’s aggressive assimilative policy for Indigenous peoples (First Nations, Métis, Inuit), demonstrating the attempts to erase Indigenous people as a cultural and political entity. Ultimately, the schools were key to the “cultural genocide” that occurred. Upon arriving at the schools, Indigenous children would be stripped of their clothes, which was quickly replaced with foreign dress. The act of forcibly taking away and replacing the clothing of the children entering Indian Residential Schools is a direct result of the assimilative policy. This paper outlines Western dress and uniform theory. From there, an Indigenous dress theory is proposed based on Indigenous epistemologies, which emphasizes the differentiation between Western and Indigenous worldviews. Indian Residential School history is shared before examining the use of dress in the schools. Finally, Western and Indigenous dress theories are used in tandem to analyze the events and effects of stripping Indigenous children of their clothes. Understanding the individual experience is possible due to the voices of school. Survivors who shared their stories with the TRC and The Legacy of Hope Foundation, those who rote their own words down, and the voices found in the archival record.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.023 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".