Gender and Sexuality Diversity in a Culture of Limitation
Bibliographic record
Abstract
Gender and Sexuality Diversity in a Culture of Limitation provides an outstanding and insightful critique of the ways that contemporary education is impacted by a range of political, social and cultural influences that inform the approaches that schools take in relation to gender and sexuality diversity. By applying feminist poststructural and Foucauldian frameworks, the book examines the ongoing impact of broader socio-cultural discourse on the lives of gender and sexuality diverse students and teachers. Beginning with an overview of the impact of how a culture of limitation is realised in Australia, the focus moves beyond this context to examine state and federal policies from comparable societies in countries including the USA and the UK and their effect on the production of knowledges and what’s permissible to include in educational curriculum. This research-driven book thus provides a comparative, international overview of the current state of gender and sexuality diversity in schools, and convincingly demonstrates that despite some empowerment of gender and sexuality diverse individuals, silencing and marginalization remain powerful forces. This book will be of great interest to graduate and postgraduate students, academics, professionals, and policy makers interested in the field of gender and sexuality in education. It is essential reading for those involved in pre-service and in-service teacher education, diversity education, the sociology of education, as well as education more generally.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| 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".