Bibliographic record
Abstract
This book examines the proliferation of policy making concerning the recognition and protection of same-sex relationships in the countries of North and South America, adding to the knowledge of developments in the United States and Canada, but, mostly notable, exploring more recent developments in Mexico, Central and South America, and the Caribbean. While much work has been done on developments in Europe and upper North America, this book attempts to broaden the understanding of relationship equality policy proliferation around the world and to add new insights regarding the policies of sexuality in different national contexts. The book discusses the several factors that have constrained and facilitated policymaking in this area including legal systems, public opinion, political culture, and, more particularly, the role of religion as a key obstacle in the recognition of rights for same-sex couples. The chapters also explore the role of institutional mechanisms, political parties, NGOs, IGOs, and international norms as significant factors for policy adoption This book explores policy innovation for same-sex couples throughout the Americas and includes same-sex marriage legislation, civil unions, and other new developments for same-sex couples throughout the Americas at both national and sub-national levels. This scholarship is innovative because though much has been written regarding developments in North America, there is very little work dealing with recent developments in the rest of the Americas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".