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Record W2551215420 · doi:10.1177/1350506816666568

Mobilizing women+’s art: <i>bildwechsel</i> , a global archive

2016· article· en· W2551215420 on OpenAlexaff
Rosanna Maule

Bibliographic record

VenueEuropean Journal of Women s Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsConcordia University
Fundersnot available
KeywordsGrassrootsExhibitionMandateQueerFeminismThe artsMedia artsMedia studiesSolidarityPolitical scienceSociologyGender studiesVisual artsPublic relationsArtLaw

Abstract

fetched live from OpenAlex

bildwechsel ( http://bildwechsel.org ) is one of the most prolific and longstanding video collectives established in Europe within the framework of the women’s movement. Founded in 1979 by students of the Hamburg College of Fine Arts, in 1986 the group became an umbrella organization with activities and agents spread all over Europe and the world sharing a common infrastructure. The purpose of bildwechsel (‘image change’) is to strengthen women’s presence in the audiovisual media and to advance feminist and queer art. The group has been pursuing its mandate initially through local workshops and exhibitions, then through archival practices and programming activities promoted on the organization’s website. This article examines bildwechsel as an example of women’s ability to maintain a niche presence within the European and the world art scene since the late 1970s via grassroots globalized practices, from within a theoretical framework drawing on transnational feminism and new media theory.

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)0.001
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0070.004
Open science0.0010.008
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.002

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 head0.038
GPT teacher head0.302
Teacher spread0.264 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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