MétaCan
Menu
Back to cohort
Record W1975424156 · doi:10.1016/j.ijgo.2009.03.020

Safe motherhood and newborn health: FIGO initiatives 2006–2010

2009· article· en· W1975424156 on OpenAlexaff
André B. Lalonde, Heather McMullen, Amanda C. Lee

Bibliographic record

VenueInternational Journal of Gynecology & Obstetrics · 2009
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsThe Society of Obstetricians and Gynaecologists of Canada
Fundersnot available
KeywordsMedicineReproductive healthUnsafe abortionAuditAbortionIntervention (counseling)NursingHealth careReproductive rightsMillennium Development GoalsEnvironmental healthObstetric transitionEconomic growthDeveloping countryFamily planningMaternal healthPregnancyPopulationHealth services

Abstract

fetched live from OpenAlex

Through international partnerships, FIGO has been delivering safe motherhood and newborn health (SMNH) projects in a number of low-income countries. The projects aim to achieve the objectives set out in the ICPD Programme of Action and the Millennium Development Goals 4 and 5, which are related to child survival and maternal mortality. Each project is developed in response to the needs of the intervention region and can be organized around the following themes: provision of maternal and newborn health care services to underserved and hard-to-reach areas; improvement and provision of quality basic emergency obstetric care; establishment of functional clinical and perinatal audits; development of new maternal and newborn health care protocols; community education and sensitization to women's rights in sexual and reproductive health; and reducing the risk of unsafe abortion.

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)0.003
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.016
GPT teacher head0.315
Teacher spread0.299 · 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
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

Citations5
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Gynecology & ObstetricsSame topicGlobal Maternal and Child HealthFrench-language works237,207