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Record W2058387 · doi:10.1086/603196

Controversial Books in the Public Library: A Comparative Survey of Holdings of Gay-Related Children's Picture Books

2000· article· en· W2058387 on OpenAlexaboutno aff
Alex Spence

Bibliographic record

VenueThe Library Quarterly · 2000
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamChecklistDivergence (linguistics)PublishingLibrary scienceSociologyQueerPublic opinionHistoryRepresentation (politics)Media studiesPsychologyPolitical scienceComputer scienceLinguisticsLawPoliticsGender studies

Abstract

fetched live from OpenAlex

This study examines an area of book publishing that has generated some controversy for public libraries. A checklist of thirty English-language children's picture books with gay characters or gay-related contents is presented. "Picture book" is broadly defined to include highly illustrated works of various degrees of difficulty which are directed to an audience aged from approximately four to eleven. Titles were checked against the catalogs of 101 public library systems to determine number of titles and number of copies of titles held. Libraries were drawn from each of the fifty American states and ten Canadian provinces, with some representation also from New Zealand, Australia, and Britain. Comparisons of holdings among library systems show large differences. Similarly, comparisons among titles show some works to be much more widely held than others, and, in support of Serebnick's earlier findings, there is a pattern of increase in the number of holding libraries when there is an increase in number of mainstream library journal reviews. The rating scheme applied to the reviews from six mainstream journals offers some guidance to the reader and highlights divergence of critical opinion with regard to some titles.

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)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.010
Science and technology studies0.0030.002
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.032
GPT teacher head0.296
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 designObservational
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

Citations20
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueThe Library QuarterlySame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207