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Record W2898506936 · doi:10.3138/utlj.2018-0018

Same-sex marriage beyond Charter dialogue: Charter cases and contestation within government

2018· article· en· W2898506936 on OpenAlexaffvenueabout
Brenda Cossman

Bibliographic record

VenueUniversity of Toronto Law Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsRoyal Society of Canada
Fundersnot available
KeywordsGovernment (linguistics)ParliamentAppealLawCabinet (room)Political scienceCharterLegislatureCaucusSociologyPolitics

Abstract

fetched live from OpenAlex

In this article, I argue that the dialogue debate has obscured a much richer story that can be told about Halpern v Canada, same-sex marriage, and the complex relationship between courts and legislatures. The federal government was deeply divided on same-sex marriage. Parliament, the Liberal government, the federal Cabinet, and the liberal caucus were all deeply divided. From the outside, it may have appeared as a ‘courts versus government’ battle, with the federal government defending the opposite-sex definition of marriage right up until the Ontario Court of Appeal struck it down as unconstitutional in Halpern. But a closer look shows that the federal government’s about-face after Halpern had been in the making for years, with supporters trying to use court decisions as well as changing public opinion to wedge open the marriage issue. The same-sex marriage case study can be retold as a story not of dialogue between courts and Parliament but, rather, as a contestation within government. I argue that this story – of conflict and contestation within government and the use of court decisions by proponents of same-sex marriage – can provide a richer account of the evolution of the federal government and the adoption of the Civil Marriage Act.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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 designQualitative
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

Citations2
Published2018
Admission routes3
Has abstractyes

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