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Record W4233743140 · doi:10.1386/jcs.5.1.56_1

Haunted by Queer Affect: Geoffrey Farmer’s The Intellection of Lady Spider House and Allyson Mitchell’s Killjoy’s Kastle

2016· article· en· W4233743140 on OpenAlexaffabout
Mark Clintberg, Jon Davies

Bibliographic record

VenueJournal of Curatorial Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsAlberta University of the Arts
Fundersnot available
KeywordsQueerPerformative utteranceUncannyShameFeelingAffect theoryAestheticsAffect (linguistics)SociologyVisual artsArtGender studiesPsychologySocial psychologyCommunication

Abstract

fetched live from OpenAlex

Recent installation projects by Canadian artists Geoffrey Farmer (The Intellection of Lady Spider House, 2013–14) and Allyson Mitchell (Killjoy’s Kastle, 2013) have taken up the architectural, atmospheric and affective structures of the haunted house. These two projects suggest distinct environments for working curatorially with queer affect, defined here as the fraught or stigmatized feelings that often adhere to queer experience. While Farmer’s quasi-museological project draws on the archive and the uncanny in its juxtapositions of varied objects (examined here through camp and Eve Kosofsky Sedgwick’s theories of queer shame), Mitchell’s performative and pedagogical work explicitly employs Sara Ahmed’s concept of the feminist killjoy to reckon with undead tropes from feminist herstories. The affective significance of the distorted domesticity evident in both installations lies in how they animate and explore uneasy queer feelings, which can be traced to the projects’ collaborative origins and the ways that they assemble objects and experiences to highlight difference as much as cohesion.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.023
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.050
GPT teacher head0.300
Teacher spread0.250 · 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 designNot applicable
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
Published2016
Admission routes2
Has abstractyes

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