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Record W4311673828 · doi:10.1186/s12978-022-01535-2

Strengthening integrated sexual reproductive health and rights and HIV services programs to achieve sustainable development goals 3 and 5 in Africa

2022· editorial· en· W4311673828 on OpenAlex

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

VenueReproductive Health · 2022
Typeeditorial
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsReproductive healthUnsafe abortionSexual and reproductive health and rightsReproductive medicineReproductive rightsUnintended pregnancyPublic healthEconomic growthAbortionEnvironmental healthSustainable developmentMedicinePregnancyFamily planningPopulationPolitical scienceNursingEconomicsBiology

Abstract

fetched live from OpenAlex

Each year, over 200 million women globally cannot prevent pregnancy through modern contraceptive methods, with 70-80% of these women residing in sub-Saharan Africa. Consequently, almost 50% of pregnancies are unintended and 35 million unsafe abortions occur annually in the region. Further, sub-Saharan Africa has the highest burden globally of Human Immune-Deficiency Virus (HIV) infection, and over 57% of those affected are women. Women with a positive HIV status in sub-Saharan Africa experience higher rates of unintended pregnancy and unsafe abortion practices. In this commentary, we propose strategies to strengthen integrated sexual and reproductive health and rights (SRHR) and HIV services programs to improve the sexual and reproductive health of girls and women and to work towards achieving SDGs 3 and 5 in sub-Saharan Africa. We suggest a focus on capacity building, strengthening intersectoral collaborations, and improving governance and financial investment.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.013
GPT teacher head0.293
Teacher spread0.280 · 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