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Record W2616323264 · doi:10.3138/topia.37.137

Lez Play! An Aesthetic Discourse Analysis of Allyson Mitchell’s <i>Ladies Sasquatch</i>

2017· article· en· W2616323264 on OpenAlexvenueaboutno aff
Michael Lithgow

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
Fundersnot available
KeywordsLesbianAestheticsQueerMainstreamSculptureFeelingContext (archaeology)Meaning (existential)SociologyResistance (ecology)MythologyAesthetic experiencePower (physics)ArtGender studiesPsychologyVisual artsLiteratureSocial psychologyPhilosophyHistoryEpistemologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Discourse analysis often overlooks the role of aesthetic experience in the formation of relations of power through meaning. This paper presents an aesthetic discourse analysis of Canadian artist Allyson Mitchell’s Ladies Sasquatch, a celebrated sculpture-installation of six gigantic naked Sasquatches. I argue that by integrating expectations rooted in fine art sensibilities, playfulness and nostalgia into the physical instantiation of an untamed, separatist collective of queer mythological beasts, Ladies Sasquatch tactically uses aesthetic experience—through feelings of uncertainty, anticipation and belonging—to reclaim public space for radical, political lesbian experience. Aesthetic discourse analysis of Ladies Sasquatch demonstrates how aesthetic experience can influence and shape discourse outcomes in the context of resistance to dominant forms of understanding, in this case by challenging the legitimacies of patriarchal norms while destabilizing the ways radical lesbian experience is delegitimized in mainstream cultural contexts.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.082
GPT teacher head0.412
Teacher spread0.330 · 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

Citations3
Published2017
Admission routes2
Has abstractyes

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