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Record W2111989169 · doi:10.1177/0964663907073444

Framing Same-sex Marriage in Canada and the United States: Goodridge, Halpern and The National Boundaries of Political Discourse

2007· article· en· W2111989169 on OpenAlexaffabout
Miriam Smith

Bibliographic record

VenueSocial & Legal Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsTrent University
Fundersnot available
KeywordsFraming (construction)LesbianPoliticsSociologyLawStatutory lawGender studiesHuman rightsSocial movementPolitical scienceHomosexualityLaw reform

Abstract

fetched live from OpenAlex

The article draws on post-positivist policy analysis and social movement theory to explore the impact of law in shaping the politics of social movement claims and discursive construction of same-sex marriage as public policy issue in Canadian and American politics. Using the concept of framing, the article discusses the ways in which lesbian and gay rights claimants in Canada and the USA have framed the issue of same-sex marriage in two landmark North American rulings on same-sex marriage, Halpern (Ontario) and Goodridge (Massachusetts). The article finds that, despite differences in legal policy legacies between Canada and the USA, there is a common rights frame governing lesbian and gay struggles over same-sex marriage. Although working with different legal frameworks, judicial precedents, statutory law and human rights protections, courts reached remarkably similar conclusions about same-sex marriage and largely endorsed nearly all of the elements in the rights frame put forth by lesbian and gay litigants. Despite similarities in the framing of lesbian and gay rights issues in the two countries, the article demonstrates that the central difference in the same-sex marriage debate in Canada and the USA concerns the place of the rights frame within the broader political culture.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.014
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.337
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations40
Published2007
Admission routes2
Has abstractyes

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