Truthful Engagement: Making the Witness Blanket, an Ongoing Process of Reconciliation
Bibliographic record
Abstract
This report from the field summarizes a conversation between Carey Newman and guest editor, Catherine Etmanski, which took place on January 12, 2018. The conversation focused on Carey’s work engaging people across Canada in a project titled The Witness Blanket. The Witness Blanket is a national monument of the Indian Residential School Era made of items collected from residential schools, from churches, government buildings, and traditional structures from across Canada. In this report, Carey provides insight into the process of collecting artefacts from communities across Canada. Although not all pieces he received were aesthetically pleasing—and neither were the stories associated with them—through this process, he learned the importance of including all voices and stories. With time and reflection, he learned the power of collective truth. While making the Witness Blanket, some items challenged his creativity and tested his commitment to include something from every contributor, but he felt a responsibility to find a place for them all. He also brings focus to traditional perspectives or ways of being that helped guide him through the process of building and leading a team through the expansive community engagement process and the eventual creation of a monument, national tour, and documentary film.
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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 | 0.082 | 0.150 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.050 | 0.075 |
| Scholarly communication | 0.032 | 0.036 |
| Open science | 0.006 | 0.039 |
| Research integrity | 0.009 | 0.015 |
| Insufficient payload (model declined to judge) | 0.005 | 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".