The representations of LGBTQ themes and individuals in non-fiction young adult literature
Bibliographic record
Abstract
Purpose Social justice themes permeate the social studies, history, civics, and current events curricula. The purpose of this paper is to examine how non-fiction trade books represented lesbian, gay, bisexual, transsexual, transgender, and queer (LGBTQ) individuals and issues. Design/methodology/approach Trade books published after 2000 and intended for middle grades (5-8) and high school (9-12) students were analyzed. Findings Findings included main characters’ demography, sexuality, and various ancillary elements, such as connection to LGBTQ community, interactions with non-LGBTQ individuals, the challenges and contested terrain that LGBTQ individuals must traverse, and a range of responses to these challenges. Publication date, intended audience, and subgenre of non-fiction – specifically, memoir, expository, and historical text – added nuance to findings. Viewed broadly, the books generally engaged in exceptionalism, a historical misrepresentation, of one singular character who was a gay or lesbian white American. Diverse sexualities, races, ethnicities, and contexts were largely absent. Complex resistance structures were frequent and detailed. Originality/value This research contributes to previous scholarship exploring LGBTQ-themed fiction for secondary students and close readings of secondary level non-fiction trade books.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".