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Record W3124882375

Reproductive Rights as Health Care Rights

2009· article· en· W3124882375 on OpenAlexaboutno aff
B. Jessie Hill

Bibliographic record

VenueeYLS (Yale Law School) · 2009
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsAbortionReproductive rightsReproductive healthHealth careReproductive justiceAutonomyLawLegislationRight to healthPolitical scienceAbortion lawMedicineFamily planningSociologyPopulationEnvironmental healthPregnancy
DOInot available

Abstract

fetched live from OpenAlex

U.S. legal scholarship concerning reproductive rights has largely revolved around the poles of decisional autonomy, privacy, and equality, with a concomitant a tendency to de-emphasize the medical aspect of abortion rights. The medical approach has been particularly disfavored by feminist scholars, largely due to concerns about undermining the equality rationale for reproductive rights and placing too much power in the hands of physicians. In addition, American constitutional law has tended to treat reproductive-rights cases differently from other cases raising challenges to government restrictions on individuals’ rights to access certain forms of medical treatment, granting heightened judicial scrutiny to the former but not the latter. This Article argues, however, that it may be time for reproductive rights advocates to consider embracing an approach that emphasizes abortion as a form of health care. To that end, it draws on the constitutional “right to health” in Canada and South Africa to further illuminate the possibility of a medical approach to reproductive rights. Placing reproductive rights into a broader framework that focuses on an individual’s right to make medical treatment decisions has several advantages, particularly in terms of its rhetorical and political inclusiveness. In addition, the “right to health,” conceived as a negative right, may provide a new legal basis for challenging abortion restrictions that currently pass muster under the prevailing “undue burden” standard.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.016
GPT teacher head0.307
Teacher spread0.291 · 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 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

Citations5
Published2009
Admission routes1
Has abstractyes

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