Bibliographic record
Abstract
In this book, Susan Gluck Mezey examines LGBT policymaking over the last several decades, highlighting advances in LGBT rights as well as formidable challenges that still confront the LGBT community. With an emphasis on courts, she traces developments in the struggles for LGBT rights in the United States and abroad. The chapters focus on employment discrimination, transgender rights, marriage equality, and the ongoing battles over discrimination against same-sex couples and transgender persons in education, employment, and public accommodations. It also adds a global perspective by appraising issues affecting LGBT rights in other parts of the world, discussing claims of discrimination in the Canadian and South African courts as well as in the European Court of Human Rights. Mezey provides a succinct and accessible guide to the debates over sexual orientation and gender identity, evaluating the roles played by state and federal courts, legislatures, and chief executives in formulating and implementing LGBT policy. Suitable as an up-to-date resource for anyone interested in LGBT rights, Beyond Marriage will also help students in upper-level classes focusing on judicial politics, public policymaking, family law, civil rights, gender policy, and minority group politics understand ways forward for the LGBT community in the political realm.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.068 | 0.026 |
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".