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Record W2975338836 · doi:10.5130/csr.v25i1.6155

Exceeding the Limits of Reconciliation: ‘Decolonial Aesthetic Activism’ in the Artwork of Canadian Artist Meryl McMaster

2019· article· en· W2975338836 on OpenAlexafffundabout
Allyson Green

Bibliographic record

VenueCultural Studies Review · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsCarleton University
FundersMcMaster University
KeywordsPerformative utteranceIndigenousColonialismAestheticsSociologyDecolonizationReading (process)SovereigntyLawArtPolitical sciencePolitics

Abstract

fetched live from OpenAlex

In this paper I consider whether, and if so how artistic creative uncertainty can facilitate processes of imagining new relationships between Indigenous peoples and settlers. Canada’s Truth and Reconciliation Commission’s model of reconciliation seems to promise improved Indigenous/settler relationships, yet many Indigenous scholars and allies question the efficacy of it as an approach to expedite relationship-building. For that reason, Indigenous critics like David Garneau suggest that alternate methods be deployed such as ‘decolonial aesthetic activism’ in order to build relationships that exceed the limits of reconciliation. Within this model, ambiguous, discordant, and indigestible artworks operate as one method by which we/settlers can become aware of how we are implicated in the structures of settler colonialism. I apply Garneau’s theory by conducting a close reading of the performative self-portraits by Meryl McMaster. My analysis reveals that art can put forward critiques of settler colonialism that unsettle assumptions, thereby creating new spaces for us to imagine worlds otherwise. Accordingly, I argue that McMaster’s art does have the potential to exceed the limits of reconciliation and conclude that critical engagement with her photographs is an important first step in the process that is decolonization, a process that exceeds the limits of reconciliation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.446
Threshold uncertainty score0.898

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0070.016
Scholarly communication0.0070.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.227
GPT teacher head0.364
Teacher spread0.137 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2019
Admission routes3
Has abstractyes

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