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Record W2942789079

Predicting Partnership Rights: Applying the European Experience to the United States

2005· article· en· W2942789079 on OpenAlexaboutno aff
M.V. Lee Badgett

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipPolitical scienceLaw and economicsPublic administrationLawSociology
DOInot available

Abstract

fetched live from OpenAlex

Since 1989, same-sex couples in Europe and North America have begun to receive many or all of the rights and responsibilities of legal marriage. To date, nine European countries give same-sex couples either the right to marry (the Netherlands and Belgium) or to form a legal partner relationship (registered partnerships in Denmark, Norway, Sweden, Iceland, and Finland; pactes civil de solidarite in France; and life partnerships in Germany). Several Canadian provinces and territories now extend such rights, with federal legislation under active consideration. In the United States, Massachusetts grants same-sex couples the right to marry. California, Vermont and Connecticut provide almost all of the state-granted rights and responsibilities of marriage. New Jersey, Maine, and Hawaii provide same-sex couples with a smaller package of such rights. In several other countries and states, marriage and partnership rights legislation is scheduled to go into effect (the United Kingdom and New Zealand), or appear likely to be enacted (Spain, Luxembourg, and Switzerland). This remarkable movement toward legal equality for gay and lesbian couples raises many intriguing questions. In particular, it forces us to wonder why some countries have moved so clearly toward equality while others have not. This question has both academic and political significance.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.058
GPT teacher head0.330
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2005
Admission routes1
Has abstractyes

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