Indian Residential Schools: Perspectives of Blackfoot Confederacy People
Bibliographic record
Abstract
This qualitative research project explored two main themes: the Indian residential school (IRS) settlement agreement for survivors of federally funded and church-run institutions, and the participants’ perspectives (N = 16) on the apology to the survivors and subsequent generations that have been affected. I focus on the First Nation population of southern Alberta, specifically the Blackfoot Confederacy (Siksikaitsitapi). I use a Siksikaitsitapi lens and methodology on their experiences at an IRS, the IRS settlement, the Canadian government’s apology to former students, and the status of reconciliation as a whole. Criteria for participant inclusion were being an IRS survivor and a member of the Blackfoot Confederacy. Semistructured interviews revealed that receiving the IRS compensation led to survivors reliving their trauma and that money did not buy happiness or foster healing. Themes related to the IRS apology included its lack of positive reception and lack of sincerity; some stated they did not watch it, whereas others shared it was emotional for them to view. Other common factors that affected participants while in an IRS were loneliness, pain, abuse, and being unable to speak Blackfoot or engage in Blackfoot cultural practices. Learning from our shared past, Canadians must lean towards trusting and respectful acts of reconciliation, and respectful relationships, which form strong partnerships for all. A Siksikaitsitapi framework is provided as a starting point for relearning, rebuilding, renewing, and restorying after 500 years of decolonization. Using the framework, all stakeholders can begin to understand and heal issues relating to overall health and well-being from within an Indigenous lens and methodology. This approach respectfully honours the 7 generations before us and the 7 generations that will come after us.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".