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Record W4400201867 · doi:10.1027/2157-3891/a000103

Uncovering Reproductive Injustice Toward Women With Disabilities

2024· article· en· W4400201867 on OpenAlexaff
Laura Pacheco, Coralie Mercerat, Marjorie Aunos, Marie‐Marthe Cousineau, Ami Goulden, Michelle Swab, Bethany Brenton, Sibusiso Moyo

Bibliographic record

VenueInternational Perspectives in Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversité de MontréalUniversité TÉLUQMemorial University of Newfoundland
Fundersnot available
KeywordsInjusticePsychologySociologySocial psychologyGender studies

Abstract

fetched live from OpenAlex

Abstract: For centuries, the reproductive agency of women with disabilities have been challenged and often undermined by informal and formal support networks. Evidence illustrates that women with disabilities face disproportionately higher rates of reproductive violence compared to their nondisabled peers (i.e., long-term contraception or forced sterilization). However, little is known about the specific nature, type, and impact of reproductive violence on women with disabilities. This scoping review examined the literature related to the reproductive violence against women with disabilities. We used Arksey and O’Malley’s framework, and based on our inclusion criteria, 28 empirical articles were included. Most studies were published in the disciplines of health (i.e., nursing and medicine) within the North American context and used qualitative research designs. Main findings within the scoping review included themes related to imposed contraception, rationalization of sterilization, barriers to sexual and reproductive health services, and the discourses underpinning reproductive injustice toward women with disabilities. The findings of the study have implications for future disability community-based research, peer-led supports, practice guidelines for professionals, and intersectoral policy provision aiming at supporting the reproductive agency of women with disabilities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.425
Teacher spread0.379 · 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 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

Citations6
Published2024
Admission routes1
Has abstractyes

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