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Record W4400723744 · doi:10.1093/medlaw/fwae026

Towards a rights-based approach for disabled women’s access to abortion

2024· article· en· W4400723744 on OpenAlexaff
Magdalena Furgalska, Fiona de Londras

Bibliographic record

VenueMedical Law Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsYork University
FundersLeverhulme Trust
KeywordsAbortionReproductive rightsInternet privacyBusinessComputer sciencePregnancy

Abstract

fetched live from OpenAlex

This article adds to the still limited scholarship on the impact of abortion laws and policies on people with disabilities and those with diminished capacity who seek abortion. We argue that neither the legal nor policy framework currently operating in England and Wales adequately incorporates and protects the rights of people with disabilities or those experiencing mental ill-health. Rather, the law and policy framework jeopardizes their reproductive agency. We argue that greater attention to and incorporation of standards contained within the UN Convention on the Rights of Persons with Disabilities (including the sources produced by its Committee) and implementation of guidelines produced by the World Health Organization would result in a rights-affirming framework that supports disabled women's reproductive agency, enhances their effective enjoyment of human rights, and supports them in accessing quality abortion care.

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)0.040
metaresearch head score (Gemma)0.029
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: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.001
Science and technology studies0.0040.030
Scholarly communication0.0080.008
Open science0.0020.010
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0050.001

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 head0.059
GPT teacher head0.438
Teacher spread0.378 · 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
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

Citations3
Published2024
Admission routes1
Has abstractyes

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