Stó:lō Relationalities: Exploring Infrastructures of Climate Adaptation along the Fraser River
Bibliographic record
Abstract
Stó:lō, or the Fraser River in British Columbia, is a site of many intersecting forces, from the urgency of climate change caused by flooding and ecological degradation to the material and political hierarchies produced by settler-colonial infrastructures. All of which is imposed onto a rich landscape of indigenous life and history. This paper's approach follows three phases—encountering, entangling, and engaging—of indigenous culture from a non-indigenous (Chinese Canadian) perspective. The process analyzes, practices, and builds on connected histories of indigeneity, migrant labour, and modern colonial conditions. ‘Mapping’ also becomes integral for macroscopic and embodied interpretations of the Stó:lō, followed by the design of a socio-ecological infrastructure addressing climate change from a cultural angle. The paper concludes by reflecting on place-knowing for architectural practice, engagements with indigeneity, LANDBACK, and the cultural dimensions of climate change, suggesting further steps for related projects.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".