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Record W3122983359 · doi:10.1016/j.ijgo.2007.07.002

Achieving transparency in implementing abortion laws.

2007· article· en· W3122983359 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

VenuePubMed · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Human Rights and Reproductive Law
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAbortionLawScrutinyHuman rightsAppealSupreme courtMedicineDutyTransparency (behavior)Reproductive rightsAbortion lawPolitical scienceReproductive healthFamily planningPopulationEnvironmental health

Abstract

fetched live from OpenAlex

National and international courts and tribunals are increasingly ruling that although states may aim to deter unlawful abortion by criminal penalties, they bear a parallel duty to inform physicians and patients of when abortion is lawful. The fear is that women are unjustly denied safe medical procedures to which they are legally entitled, because without such information physicians are deterred from involvement. With particular attention to the European Court of Human Rights, the UN Human Rights Committee, the Constitutional Court of Colombia, the Northern Ireland Court of Appeal, and the US Supreme Court, decisions are explained that show the responsibility of states to make rights to legal abortion transparent. Litigants are persuading judges to apply rights to reproductive health and human rights to require states' explanations of when abortion is lawful, and governments are increasingly inspired to publicize regulations or guidelines on when abortion will attract neither police nor prosecutors' scrutiny.

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)0.002
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 score0.787
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.039
GPT teacher head0.318
Teacher spread0.280 · 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