Bibliographic record
Abstract
This article explores one example of the Truth and Reconciliation Commission (TRC) of Canada’s, Calls to Action #69, being implemented through the work of the Galt Museum & Archives with a Blackfoot researcher within the Treaty 7 area in Southern Alberta. Call to Action #69 recommends that museums and archives allocate more resources and develop programs which allow Indigenous Peoples’ “inalienable right to know the truth about what happened and why…in the residential schools.” In many instances, the educational policy underpinning Indian residential schools (IRS) was never explained to the schools’ Survivors or their families. The author created a travelling exhibit to rectify the gap in knowledge, whereby Survivors, Intergenerational Survivors, and interested Canadian citizens can learn about the educational policy that drove Canada’s assimilation efforts for over a century and a half. This article is meant to be a companion piece to contextualize and explain the exhibit entitled: “Stolen Kainai Children: Stories of Survival.”
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.044 | 0.015 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".