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Record W2090311052 · doi:10.1108/01604950010310848

The treatment of gay and lesbian fiction for young adults in selected prominent reviewing media

2000· article· en· W2090311052 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCollection Building · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsWestern University
Fundersnot available
KeywordsLesbianAmbivalenceContent (measure theory)Content analysisHomosexualityPsychologyMass mediaSociologyGender studiesSocial psychologySocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Content analysis was used to determine how a sample of 32 gay and lesbian novels for young adults were treated in 158 reviews from five prominent reviewing journals. Findings indicate that most reviews (84.8 percent) were favourable, many (79.7 percent) contained clear reference to the homosexual content, and there were few differences between the individual reviewing journals. Some reviews contained cautions and warnings about the gay and lesbian content, some denied or downplayed it, some justified the content if it was used to teach a lesson, and most described these stories as “problem” novels. Analysis also showed that gay and lesbian fiction is now regarded as a distinct genre of young adult literature. While librarians wishing to identify gay and lesbian fiction for collection development will be able to do so through the reviewing media, ambivalence about this literature and the young adults it represents was also evident in the reviews.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.306
Teacher spread0.273 · 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