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Record W2085161301 · doi:10.1016/j.ijgo.2010.04.004

The FIGO initiative for the prevention of unsafe abortion

2010· article· en· W2085161301 on OpenAlexaff
Dorothy Shaw

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2010
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedicineAbortionUnsafe abortionObstetricsGynecologyEnvironmental healthPregnancyFamily planningPopulationResearch methodology

Abstract

fetched live from OpenAlex

Unsafe abortion is a recognized public health problem that contributes significantly to maternal mortality. At least 13% of maternal mortality is caused by unsafe abortion, mostly in poor and marginalized women. The International Federation of Gynecology and Obstetrics (FIGO) launched an initiative in 2007 to prevent unsafe abortion and its consequences, building on its work on other major causes of maternal mortality. A Working Group was identified with collaborators from many international organizations and terms of reference provided direction from the FIGO Executive Board as to possible evidence-based interventions. A total of 54 member associations of FIGO, representing almost half its member societies, requested participation in the initiative, with 43 subsequently producing action plans that are country specific and involve the national government and multiple collaborators. Obstetrician/gynecologists have demonstrated the importance of the initiative by an unprecedented level of engagement in efforts to reduce maternal mortality and morbidity in country and by sharing experiences regionally.

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)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.015
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 head0.030
GPT teacher head0.359
Teacher spread0.329 · 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 designOther design
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

Citations27
Published2010
Admission routes1
Has abstractyes

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