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Record W4386843221 · doi:10.1002/ijgo.15150

The hyper‐regulation of abortion care in Italy

2023· article· en· W4386843221 on OpenAlexaff
Elena Caruso

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2023
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAbortionMedicineAutonomyLawAbortion lawDecriminalizationHuman rightsFamily planningPolitical sciencePopulationEnvironmental health

Abstract

fetched live from OpenAlex

This paper argues that the current abortion regulation by Law 194/1978 is an inadequate basis for the provision of good quality abortion care and must be reformed. First, the paper explains why Law 194/1978 creates a hyper-regulatory regime that is inconsistent with the best clinical evidence and practices in the field as well as relevant international human rights law, as outlined in the World Health Organization's (WHO) 2022 Abortion Care Guideline. Second, it highlights gaps between what the law says and what happens in practice, pointing out how the everyday life of Law 194/1978, especially in the practices of gynecologists, is far removed from international standards of quality abortion care and has yet to comply with international human rights law. Third, it sets out some alternative routes to abortion access "outside" Law 194/1978. Finally, it concludes with some suggestions for a change in the practice of gynecology and a call for the reform of Law 194/1978, in favor of a bodily autonomy model of regulation grounded on decriminalization, demedicalization, dehospitalization, and self-management to ensure compliance with the WHO standards and international human rights law.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.016
GPT teacher head0.323
Teacher spread0.307 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

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