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Record W7030333030

A Model for Understanding CEDAW’s Impact on Implementing Gender Equality Reforms: Lessons from Canada and India

2024· article· en· W7030333030 on OpenAlexaboutno aff

Bibliographic record

VenueEngagedScholarship @ Cleveland State University (Cleveland State University) · 2024
Typearticle
Languageen
FieldEngineering
TopicPhysics and Engineering Research Articles
Canadian institutionsnot available
Fundersnot available
KeywordsRatificationConvention on the Elimination of All Forms of Discrimination Against WomenTreatyGender equalityGender analysisIndigenousConvention
DOInot available

Abstract

fetched live from OpenAlex

This Article provides a model for examining the impact of the Convention on the Elimination of All Forms of Discrimination Against Women (“CEDAW”) on implementing gender equality reforms using Canada and India, two CEDAW State Parties, as case studies. It also explores the influence of heteropatriarchy, deeply-rooted cultural norms perpetuating gender inequality, on hindering CEDAW’s ratification in the United States, as well as CEDAW’s effectiveness in implementing reforms in Canada and India. The analysis showcases how non-governmental organizations (“NGOs”) in these countries have nevertheless achieved limited successes through their mobilization of CEDAW to address specific gender injustices, such as gender violence against Indigenous women and workplace sexual harassment. However, even if CEDAW facilitates a state’s enactment of reforms, the enactment may not result in the reforms’ implementation because the treaty alone cannot overcome state-sanctioned misogynistic beliefs. The research contributes to the scholarly dialogue regarding CEDAW’s effectiveness in three ways. First, this Article provides a model for understanding CEDAW’s impacts on implementing gender equality measures through a comparative analysis of such measures’ implementation in Canada and India post-treaty ratification. Second, this Article uses this comparative lens to argue that, although the United States should ratify CEDAW, its potential impact rests in its ability to advocate for gender equality reforms on which society generally agrees while avoiding controversial reforms (e.g., legalizing abortion). In so doing, the research takes the scholarly debate beyond advocating for or against the United States’ ratification of CEDAW based on the assumption that it will or will not make a difference in women’s lives. Instead, this Article argues scholars cannot address that question until they can show a state has successfully implemented a CEDAW-inspired reform. Finally, this Article aims to provide peace of mind to CEDAW’s ratification opponents in the United States by suggesting that CEDAW, if eventually ratified, will only result in reforms on which there is bi-partisan support (e.g., more support for mothers and pregnant women in the military) rather than reforms on divisive issues because of entrenched patriarchal beliefs in American society.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.097
GPT teacher head0.272
Teacher spread0.176 · 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 designSimulation or modeling
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

Citations0
Published2024
Admission routes1
Has abstractyes

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