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Record W2176394939 · doi:10.1177/1753495x15595308

Global obstetric medicine: Collaborating towards global progress in maternal health

2015· article· en· W2176394939 on OpenAlex
Tabassum Firoz, Oier Ateka–Barrutia, José Rojas‐Suarez, Chandrika Wijeyaratne, Eliana Castillo, Hennie Lombaard, Laura A. Magee

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

VenueObstetric Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsMedicineScope (computer science)Global healthMaternal-fetal medicineAlternative medicineHealth carePopulationFamily medicineEconomic growthNursingPregnancyPublic healthEnvironmental healthObstetrics and gynaecology

Abstract

fetched live from OpenAlex

Globally, the nature of maternal mortality and morbidity is shifting from direct obstetric causes to an increasing proportion of indirect causes due to chronic conditions and ageing of the maternal population. Obstetric medicine can address an important gap in the care of women by broadening its scope to include colleagues, communities and countries that do not yet have established obstetric medicine training, education and resources. We present the concept of global obstetric medicine by highlighting three low- and middle-income country experiences as well as an example of successful collaboration. The article also discusses ideas and initiatives to build future partnerships within the global obstetric medicine community.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.007
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 head0.038
GPT teacher head0.357
Teacher spread0.319 · 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