Skwxwú7mesh Nách’en: Xwech’shí7 tlʼa Nexwníneẁ iy Sneẁíyelh \nSquamish Praxis the interspace of Upbringing and the Teachings
Bibliographic record
Abstract
In Canada, First Nations languages are in a grave state of decline. Skwxwú7mesh (Squamish) is a critically endangered language. In Circle, a form of knowledge gathering that has been adapted for this research, co-participants take up the two notions of nexwnínew̉ and snew̉íyelh (upbringing and the teachings). The premise in the research is that Skwxwú7mesh people are engaged in a socialization process, which has at the crux an intergenerational pedagogy of Skwxwú7mesh language, culture, and knowledge re-generation enculturated through family relations in formal and informal ways manifest in their nexwnínew̉ and snew̉íyelh. Based upon the cultural practice Utsám̉ Chiỷáxw (Called to Witness) protocol co-participants become the Witnesses called to “put words to the floor”. This study uses an emergent Skwxwú7mesh theory called Nch’u7mút (united as one) that privileges the Swa7ám̉ (Ancestors) epistemological and ontological knowledge systems. Four principles wanáxw̉s (respect), smenálhwit (dignity), áyatway (kindness), and chénchenstwaywit (support for one another) shape the theory. Xay Sts’its’áp’ (Sacred Work) is a Skwxwú7mesh chiỷáxw (protocol) that frames this dissertation. I use the term Work italicized and capitalized to symbolize respect for the ceremony of research. The findings offer the reader, the co-participant’s critical insights into the Skwxwú7mesh moral universe and the connection of language to land.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
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".