Bibliographic record
Abstract
Marriage is a relationship between two persons i.e. man and woman. This is the formal union of a man and a woman, typically as recognized by law, by which they become husband and wife. Marriage can also be described as a socially or ritually recognized union or legal contract between spouses that establishes rights and obligations between them and their children. The same-sex marriage can be defined as a marriage between two persons of the same biological sex or gender identity. At common law a marriage between persons of the same sex was void ab initio could not be validated by adopting a child. But in the contemporary world the Homosexual marriage has been validated. The first law in modern times enabling same-sex marriage was enacted during the first decade of the 21st century. As of 19 August 2013, fifteen countries (Argentina, Belgium, Brazil, Canada, Denmark, France, Iceland, Netherlands, New Zealand, Norway, Portugal, Spain, South Africa, Sweden, Uruguay) allowed same-sex couples to marry. A law has been passed by the United Kingdom going to be effective in 2014 which validates same- sex marriage. The study in various parts of society shows that there is rising support for legally recognizing same-sex marriage. Keywords: same-sex marriage, biological parents, infertility, sexual fidelity
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".