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Record W2982010140

Theorizing Time in Abortion Law and Human Rights.

2017· article· en· W2982010140 on OpenAlexaff
Joanna N. Erdman

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAbortionMoralityHuman rightsAbortion lawEconomic JusticeLawPolitical sciencePoliticsCriminologyUnsafe abortionSociologyFamily planningPregnancyPopulation
DOInot available

Abstract

fetched live from OpenAlex

The legal regulation of abortion by gestational age, or length of pregnancy, is a relatively undertheorized dimension of abortion and human rights. Yet struggles over time in abortion law, and its competing representations and meanings, are ultimately struggles over ethical and political values, authority and power, the very stakes that human rights on abortion engage. This article focuses on three struggles over time in abortion and human rights law: those related to morality, health, and justice. With respect to morality, the article concludes that collective faith and trust should be placed in the moral judgment of those most affected by the passage of time in pregnancy and by later abortion-pregnant women. With respect to health, abortion law as health regulation should be evidence-based to counter the stigma of later abortion, which leads to overregulation and access barriers. With respect to justice, in recognizing that there will always be a need for abortion services later in pregnancy, such services should be safe, legal, and accessible without hardship or risk. At the same time, justice must address the structural conditions of women's capacity to make timely decisions about abortion, and to access abortion services early in pregnancy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.182

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 studies0.0000.000
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 head0.023
GPT teacher head0.292
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations25
Published2017
Admission routes1
Has abstractyes

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