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Record W4385932526 · doi:10.32920/23979060

Sliding Into Visibility - The Visible for a Change: Contemporary Lesbian Artists, U.S.A. Project

2023· preprint· en· W4385932526 on OpenAlexaff
Sarah M. Griffin

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsLesbianQueerExhibitionHistory of artInstitutionHomosexualitySociologyVisual artsArt historyArtGender studiesMedia studiesArchitectureSocial science

Abstract

fetched live from OpenAlex

The following thesis places the Visible for a Change: Contemporary Lesbian Artists, U.S.A project within the history of queer art and queer curation. The project was initiated by a group of graduate students as part of the Sixth Annual Colloquium Series on Gender, Culture, and Society, held at the Schlesinger Library, Harvard University in 1991. The project was created in order to leave Harvard with a usable archive of contemporary lesbian art, but it became lost and forgotten within the institution’s larger collection. The research undertaken for this thesis aims to contextualize the project within the history of queer art and add to the often-unsung history of lesbian artists. This thesis looks to historically situate the project, the physical manifestation of the resulting exhibition, the subsequent Visible for a Change archive, public response to the project, and the importance of the slideshow within queer art history.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0370.011
Scholarly communication0.0100.004
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.001

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 head0.441
GPT teacher head0.386
Teacher spread0.055 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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