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How queer!? Canadian approaches to recognizing queer families in the law

2021· article· en· W3194463909 on OpenAlexaffabout
Lois Harder

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQueerLegislaturePoliticsIdentification (biology)LawGender studiesPolitical scienceSociologyGenealogyHistoryBiology

Abstract

fetched live from OpenAlex

Canada is at the global forefront in providing legal recognition to queer parents. To date, three of its ten provinces (British Columbia, Ontario, and Saskatchewan) will grant parental status to three or more intentional parents and enable their identification on birth registration. All provinces and territories permit the registration of an “other parent” on birth registration, and all jurisdictions enable queer couples to adopt. Notably, these legislative accomplishments have not attracted a great deal of political resistance. The relatively slow process of reforming parentage law to adapt to same-sex marriage and common law relationships, favourable court rulings, and the combination of the need to address parentage in situations involving both assisted reproduction and queer families have been significant factors in the Canadian story. Moreover, the terms of the legal provisions continue to rely largely on conjugality and biology as the basis of parentage claims. These developments have clearly been important for some queer families, but they exist within fairly conventional parameters, begging the question as to how queer Canada’s parentage recognition really is.

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)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.160
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0310.026
Scholarly communication0.0140.006
Open science0.0030.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.547
GPT teacher head0.530
Teacher spread0.016 · 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 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

Citations1
Published2021
Admission routes2
Has abstractyes

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