Bibliographic record
Abstract
With the increased publication of books featuring LGBTQ2S+ characters and issues, there is an opportunity for the reader to acquire a greater understanding of various LGBTQ2S+ experiences. This article focuses on ten books for children ages eight to twelve that include transgender characters. The books are as follows: Lily and Dunkin; The Boy in the Dress; Sapphire the Great and the Meaning of Life; George; Gracefully Grayson; Zenobia July; A Boy Named Queen; The Pants Project; The Other Boy; and My Life as a Diamond. This article offers a brief synopsis of the ten selected books and a discussion of how each book fits into transgender literature as a whole. A thematic analysis revealed six themes that occur in nearly all of the books studied: gender transition, the nuclear family, adult antagonists, bullies, resolutions, and racial diversity. This study will be useful to librarians and teachers wishing to increase their knowledge and awareness of LGBTQ2S+ literature and add to their LGBTQ2S+ collection.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.005 |
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".