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Record W3089696002 · doi:10.1093/sw/swaa034

Advancing Reproductive Justice to Close the Health Gap: A Call to Action for Social Work

2020· article· en· W3089696002 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Work · 2020
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOppressionPraxisSociologyScholarshipDignityReproductive healthReproductive rightsSocial workEnvironmental ethicsEconomic JusticeReproductive justiceCriminologyGender studiesPolitical scienceLawPoliticsPopulationBiology

Abstract

fetched live from OpenAlex

Reproductive justice is an intersectional social movement, theory, and praxis well aligned with social work's mission and values. Yet, advancing reproductive justice-the right to have children, to not have children, to parent with safety and dignity, and to sexual and bodily autonomy-has not been a signature area of scholarship and practice for the field. This article argues that it is critical for social work to advance reproductive justice to truly achieve the grand challenge of closing the health gap. The article starts by discussing the history and tenets of reproductive justice and how it overlaps with social work ethics. The authors then highlight some of the ways by which social workers have been disruptors of and complicit in the oppression of individuals, families, and communities with regard to their reproductive rights and outcomes. The article concludes with a call to action and recommendations for social work to foreground reproductive justice in research, practice, and education efforts by centering marginalized voices while reimagining the field's pursuit of health equity.

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.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.411
Teacher spread0.314 · 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