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Record W2770691897 · doi:10.1017/cls.2017.24

Litigating Parentage: Equality Rights, LGBTQ Mobilization and Ontario’s All Families Are Equal Act

2017· article· en· W2770691897 on OpenAlexaffabout
Dave Snow

Bibliographic record

VenueCanadian Journal of Law and Society / Revue Canadienne Droit et Société · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCharterPolitical scienceLegislatureLawGay rightsOpposition (politics)LawmakingPolitics

Abstract

fetched live from OpenAlex

Abstract After a judge declared its parentage regime violated the Canadian Charter of Rights and Freedoms, in 2016, Ontario passed theAll Families Are Equal Act(AFAEA), which recognized LGBTQ families and parents of children born through assisted reproduction. This article analyzes the legislative hearings on the AFAEA, and highlights three factors that shaped the final policy outcome: a coordinated group of progressive witnesses with legal expertise; the presence of “rights talk” to inflate the scope of the judicial ruling; and the government’s use of the Charter as both “shield” and “sword” to minimize conservative opposition. This highlights how the Charter can shape policy outcomes not just in the courtroom, but also during the lawmaking process. It also demonstrates that activists are now using the Charter—particularly the equality rights provisions—to change policy for two groups facing discrimination: trans parents and individuals using assisted reproduction.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.793

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0350.022
Scholarly communication0.0060.002
Open science0.0020.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.040
GPT teacher head0.301
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2017
Admission routes2
Has abstractyes

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