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WHO Principles of Perinatal Care: The Essential Antenatal, Perinatal, and Postpartum Care Course

2001· review· en· W2033986693 on OpenAlexaff
Beverley Chalmers, Viviana Mangiaterra, Richard Porter

Bibliographic record

VenueBirth · 2001
Typereview
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsCoalition for Research in Women's HealthHealth Sciences CentreSunnybrook Health Science Centre
FundersChina Construction Eighth Engineering Division
KeywordsHealth careMedicineNursingMaternity careFamily medicinePolitical science

Abstract

fetched live from OpenAlex

World Health Organization (WHO) recommendations and meta-analyses of controlled trials have concluded that inappropriate perinatal care and technology continue to be practiced widely throughout the world, despite the acceptance of evidence-based principles and care. The WHO Regional Office for Europe, in consultation with policy makers and reproductive health experts recently proposed ten "Principles of Perinatal Care," which have been endorsed by the reproductive health units of most member states. A comprehensive training program, based on the principles, is now being offered throughout the European region. This paper describes the development of the WHO principles and the WHO training course "Essential Antenatal, Perinatal and Postpartum Care." Together they provide an innovative model of evidence-based and psychosocially sensitive care for the future guidance of perinatal policy makers and caregivers worldwide.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.031
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0060.004
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.058
GPT teacher head0.412
Teacher spread0.353 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations198
Published2001
Admission routes1
Has abstractyes

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