Casting light to fill shadow : a decolonial aesthesis in Secwepemcúl'ecw
Bibliographic record
Abstract
The basis of this thesis is to link research into the physical anthropology of Interior Salish people in the early colonial period in British Columbia with the measuring and dislocating of Indigenous lands as expropriated by Settler policies in a research creation model to be exhibited as an installation and exhibition. By examining physical anthropological records, anthropometric data and ethnographic life-casts of Interior Salish people made during the North Pacific Jesup expedition (collection of the American Museum of Natural History, NY) and an Interior Chief's delegation to Ottawa in 1916 (collection of the Museum of History, QC) my research will connect the practice of anthropometric measurements with government policies of land dispossession as problematized methods of the colonial politics of measurement and survey. My thesis project attempts to locate, within the subjects of the study, a political imperative of land rights struggle through relational and installation based artworks within these conceptual paradigms. Using methods of Indigenous ways of knowing like: decolonial aesthesis, the politics of refusal and the Secwepémc concept of kweselktnéws, a culturally specific concept of relationality, grounds my research within my family, responsibility, community and territory. My MFA thesis project, Casting Light to Fill Shadow: A Decolonial Aesthesis in Secwepemcúl'ecw, will model alternative ways to engage with and value Indigenous knowledge(s) in relation to decolonial aesthetics. Through this project I will draw out the connections between ethnographic study, Indigenous land rights and contemporary art practice adding to the bodies of knowledge around Indigenous and decolonial aesthetics.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".