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Record W4319345423 · doi:10.7765/9781526162397

Taking place

2023· book· en· W4319345423 on OpenAlexaboutno aff
Erin Silver

Bibliographic record

VenueManchester University Press eBooks · 2023
Typebook
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsQueerMainstreamGender studiesNarrativeSociologyAestheticsPolitical scienceArtLiteratureLaw

Abstract

fetched live from OpenAlex

Histories of feminist, queer, and queer feminist art can be traced onto the histories of the institutions, organisations, collectives, and structures that have helped to secure and legitimise feminist and queer art practices. Building histories examines select feminist and queer alternative art spaces across Canada and the United States and the ways by which contemporary queer and feminist practices support and challenge the dominant narratives through which these histories have commonly been understood. Beginning with an exploration of the foundational histories of feminist art, the book examines how queer and feminist institutions have taken divergent paths in subsequent decades, and how they might be read through the spaces, communities and cities that provide the conditions for their cultivation. The book contributes to the development of histories of sites of feminist and queer cultural production and considers the enduringly precarious position of feminist and queer art histories relative to more mainstream art histories. It also examines how present-day queer and feminist artists engage and respond to the histories, spaces, and institutions they have inherited.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.087
Threshold uncertainty score0.292

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0150.013
Scholarly communication0.0120.008
Open science0.0020.015
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0870.020

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 head0.096
GPT teacher head0.223
Teacher spread0.127 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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