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Feminist Constitutionalism in Canada

2017· book-chapter· en· W2964931682 on OpenAlexaffabout
Beverley Baines, Ruth Rubio-Marín

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsConstitutionalismAutonomyConstitutionAgency (philosophy)Political scienceLawConstitutional lawFundamental rightsDemocracyHuman rightsSociologyPoliticsSocial science

Abstract

fetched live from OpenAlex

Abstract This chapter examines the Canadian Constitution through feminist lenses. It proposes a feminist framework to evaluate constitutional law. Feminist constitutionalism aims to promote women’s agency and to protect their rights fully. Feminist constitutionalism examines women’s agency in constitutional law. It also examines critically the interpretation of traditional rights, the impact of constitutionally structured diversity, and the approach to equality rights. Feminist constitutionalism pays attention to the constitutional protection of women’s reproductive rights and sexual autonomy (domains of autonomy neglected by classical constitutionalism); it also aims to ensure women’s equal rights within the family, and to promote women’s socioeconomic development and democratic rights. This chapter develops the idea of feminist constitutionalism and uses this framework to evaluate critically some aspects of Canadian women’s constitutional experience.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.245
Threshold uncertainty score0.876

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0280.025
Scholarly communication0.0090.002
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0160.001

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 head0.043
GPT teacher head0.249
Teacher spread0.206 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2017
Admission routes2
Has abstractyes

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