Bibliographic record
Abstract
Gay and Lesbian Communities the World Over examines the treatment and status of gays and lesbians in 21 countries around the world. The countries included are Canada, the United States, Argentina, Brazil, Great Britain, France, Germany, Italy, Sweden, Hungary, Poland, Russia, Israel, Egypt, Iran, Nigeria, South Africa, India, China, Japan, and Australia. The book explores the history of homosexuality dating back to ancient Greece and Rome, as well as attitudes toward gays and lesbians within the world's most prominent religions, the arts, literature, and film. This investigation is unique due to its comprehensive and innovative analysis of a wide range of topics concerning gay and lesbian communities across a large number of countries. The authors report on the rights of gay and lesbian citizens in the countries listed above, as for example the right to marry, adopt, serve in the military, hold certain occupational positions. They also describe the status of gay and lesbian citizens as for example, the legality of homosexuality and sanctioned punishments. When available, public opinion data are reported on how respondents feel about gays and lesbians in their country as well as their opinions on what rights should be afforded to this group. Data are reported on respondents' opinions on allowing gay marriage, civil unions, adoption, and allowing gays to openly serve in the military. The representative sample of countries in this study will help scholars get a better sense of the status of gays and lesbians across the globe.
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 | 0.001 | 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 | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".