Bibliographic record
Abstract
“It can start with a knock on the door one morning. It is the local Indian agent, or the parish priest, or, perhaps, a Mounted Police officer.” So began the school experience of many Indigenous children in Canada for more than a hundred years, and so begins the history of residential schools prepared by the Truth & Reconciliation Commission of Canada (TRC). Between 2008 and 2015, the TRC provided opportunities for individuals, families, and communities to share their experiences of residential schools and released several reports based on 7000 survivor statements and five million documents from government, churches, and schools, as well as a solid grounding in secondary sources. A Knock on the Door , published in collaboration with the National Research Centre for Truth & Reconciliation, gathers material from the several reports the TRC has produced to present the essential history and legacy of residential schools in a concise and accessible package that includes new materials to help inform and contextualize the journey to reconciliation that Canadians are now embarked upon. Survivor and former National Chief of the Assembly First Nations, Phil Fontaine, provides a Foreword, and an Afterword introduces the holdings and opportunities of the National Centre for Truth & Reconciliation, home to the archive of recordings, and documents collected by the TRC. As Aimée Craft writes in the Afterword, knowing the historical backdrop of residential schooling and its legacy is essential to the work of reconciliation. In the past, agents of the Canadian state knocked on the doors of Indigenous families to take the children to school. Now, the Survivors have shared their truths and knocked back. It is time for Canadians to open the door to mutual understanding, respect, and reconciliation.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.008 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.153 | 0.059 |
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".