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Record W4384161240 · doi:10.7202/1100561ar

Binding Transnational Lesbian‑Feminist Print Constellations: Exploring Feminist Print Cultures and Its Transnational Travels

2023· article· en· W4384161240 on OpenAlexvenueno aff
Julie R. Enszer

Bibliographic record

VenueMémoires du livre · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsnot available
Fundersnot available
KeywordsLesbianPublishingGender studiesSociologyArgument (complex analysis)FeminismReading (process)Media studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

A series of publishing interventions by lesbian-feminists document the transnational aspirations of the U.S. women’s liberation movement in the 1970s, 80, and 90s. The argument about how lesbian‑feminist publishers contributed to transnational feminist attentions unfolds in three parts. First, I examine how feminists built international publishing networks in the 1980s and 1990s. Second, I examine how three lesbian-feminist periodicals, Connexions, Sinister Wisdom, and Ikon, demonstrated commitments to transnational publishing and reading practices. Third, a constellation of five transnational texts published by independent lesbian-feminist publishers reveal the literacies imagined by feminist publishers and how lesbian‑feminist publishers worked to reshape American feminist imaginaries to be more transnational. In a final section, I speculate about how focusing on lesbian‑feminist publishing in the past might illuminate contemporary studies of publishing and inspire new publishing activists.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.983
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0150.029
Scholarly communication0.0170.012
Open science0.0010.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.070
GPT teacher head0.316
Teacher spread0.247 · 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.

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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