Voice of an Elder: Zhaawonde - Dawn of a New Day
Bibliographic record
Abstract
This paper evolved, maybe ‘was birthed’ is an even better term given the circumstances, out of an engagement process that brought Gordon Shawanda and several university students together over an academic year. Gordon was invited to attend my Aboriginal Spirituality class at the University of Toronto in September 2009. He liked being there so much that he came each week, sitting through lectures, reading the materials, and participating with unerring grace in the many discussions over the entire year. We were all touched by his presence, his quiet dignity, and his deep interest in our academic learning and sharing experience. Gordon embodies what modern education is trying to get right, the bringing together of theory and practice, and the unveiling of the kind of humanity that can bring Indigenous Knowledge alive for all young people everywhere. Gordon was inspired by their enthusiastic receiving of his words to write down his story. This paper is his first real attempt to express the pain and healing he has experienced over his adulthood. I am honoured and humbled to (gently) edit this work for publication. This is a story that comes directly from the heart and soul of one man, but is the lived experience of many of our people who attended Indian Residential Schools in Canada. It is organized into four parts.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| 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".