Bibliographic record
Abstract
This thesis is an investigation of processes involved in the praxis of Tseil-Waututh knowledge systems, stemming from the longhouse and its value to people of Tsleil-Waututh nation in structure and to people in content and delivery. I journeyed through the process of writing a performance from a dance, the Swan Dance. It was under Len George's care and through this process that I learned to reflect and thus, revalue my body, mind and heart. I learned to love song and sound and to sense my relatives unconscious being, here in Toronto. I felt a sense of community, consciously, unprecedented in my adult life, except in one-on-one relations with siblings and my mother and in reflection. In reflection, I could not name this process, this understanding, but in spurts of words and recollections. It is in this light that the value of Tsleil-Waututh dance and its process of learning came. I turned the light onto this process and the light reflected back onto me, its birth and journey and my participation inside of it. It has inspired a writer to help stop the violence against women, by showing a purpose to, through a belief in tradition. Out emerged a people, warm and beautiful, dancing and singing and speaking.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.065 | 0.018 |
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".