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Record W6995759612

Performative Strategies in the Extractive Periphery: Resisting Colonial-Capitalist Logics of Dissolution in the Anthropocene

2020· dissertation· en· W6995759612 on OpenAlexaboutno aff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2020
Typedissertation
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsForegroundingSituatedPerformativityPerformative utteranceAnthropoceneImmediacyAppropriationField (mathematics)Embodied cognitionPoliticsIndigenous
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.839
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.064
GPT teacher head0.296
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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