Performative Strategies in the Extractive Periphery: Resisting Colonial-Capitalist Logics of Dissolution in the Anthropocene
Bibliographic record
Abstract
Situated at the intersections of performance, decolonial and ecological theory, this thesis posits embodied performance strategies as a catalyst for subverting the colonial-capitalist logics of extractivism. Through close readings of the work of contemporary artists Tsēmā Igharas (Tahltan), Otobong Nkanga (Nigerian-born, Antwerp-based), Warren Cariou (Métis and European ancestry), Carolina Caycedo (Colombian mestizx, Los Angeles-based) and Rebecca Belmore (Anishinaabe), this thesis argues that the performing body translates extractive politics into the immediacy of the senses through the micro and intimate aesthetics of the corporeal to engage in a form of critical public pedagogy. Drawing on the work of scholars Leanne Betasamosake Simpson, Macarena Gómez-Barris, Laura Levin and Wanda Nanibush, this study queries what submerged perspectives are voiced and made visible in the extractive zone, and frames these perspectives within the current discourse of the Anthropocene. The artists’ land-based praxes, foregrounding Indigenous knowledges, are examined as a type of field research of specific regions’ geopolitics and temporalities—praxes which conceptualize alternative ways of representing and thinking about land through the performance of place-based relationality.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.068 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".