"In all areas, I cater to the majority": An Investigation of LGBT+ Provision in School Libraries from the Librarian's Perspective
Bibliographic record
Abstract
This study looks at LGBT+ provision in school libraries from the perspectives of librarians, 15 years after Section 28 was abolished, a piece of legislation which limited promotion of homosexuality in local authorities in the UK. It aims to assess the awareness and knowledge of LGBT+ issues amongst school librarians, to explore LGBT+ provision in school libraries, librarian's self-perception of this provision and how proactive school librarians are on this topic. A thematic analysis of qualitative and quantitative data was implemented, collected using a survey. It found many factors impacting LGBT+ provision, from external sources and the librarians themselves. Sporadic improvement has been made in LGBT+ provision, but there is no consensus on what good practice looks like.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".