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Record W1571182304 · doi:10.1300/j155v09n01_14

More than a Bookstore

2005· article· en· W1571182304 on OpenAlexaff
Kathleen Liddle

Bibliographic record

VenueJournal of Lesbian Studies · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsUniversity of TorontoThe Scarborough Hospital
Fundersnot available
KeywordsPsychologyPsychoanalysisArt

Abstract

fetched live from OpenAlex

Feminist bookstores serve as hubs for the lesbian community, offering a "safe space" for gatherings, information dissemination, and personal exploration. In recent years, the number of feminist bookstores in the U.S. has drastically declined. This trend is often attributed to the increase in corporate bookstore chains and the emergence of online merchants. Given the wider availability of feminist and lesbian reading material, have feminist bookstores outlived their usefulness? Using survey and interview data collected from lesbian feminist bookstore customers, I show that feminist bookstores continue to be perceived as vital to the lesbian community. Respondents share powerful memories of their first visits to feminist bookstores and articulate the continued need for such enterprises in their communities. Despite these assertions, however, more than half of the women surveyed indicate that their visits to the stores have grown less frequent over time due to changes in life circumstances or decreased salience of lesbian identity. Implications and directions for future research are discussed.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.107
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1070.019

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 head0.126
GPT teacher head0.405
Teacher spread0.279 · 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

Citations34
Published2005
Admission routes1
Has abstractyes

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