From Reconciliation to ReconciliAction
Bibliographic record
Abstract
This personal reflection details the authors' experiences as childcare workers at St. Michael's Indian Residential School in 1970 and their subsequent journey toward understanding and advocating for truth and reconciliation in Canada. Witnessing the pervasive abuse, neglect, and cultural genocide within the residential school system, the authors initially remained silent for fifty years. Their compelling narrative recounts their renewed commitment to share their story following the Truth and Reconciliation Commission of Canada's (TRC) reports in 2015 and the discovery of unmarked graves at former residential schools. The abstract highlights their efforts to challenge residential school denial and emphasize that these institutions were instruments of forced assimilation, not education. It concludes with a powerful call for "ReconciliAction," transforming the concept of reconciliation into active, ongoing engagement by all Canadians to address the tragic legacy of residential schools and foster respectful relationships between Indigenous and non-Indigenous peoples.
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 | 0.024 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.033 | 0.104 |
| Scholarly communication | 0.021 | 0.021 |
| Open science | 0.004 | 0.028 |
| Research integrity | 0.006 | 0.014 |
| 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".