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Abortion Risk and Decisionmaking among Young People in Urban Cameroon

2002· article· en· W2120522397 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

VenueStudies in Family Planning · 2002
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAbortionMedicineUnsafe abortionLogistic regressionPregnancyDemographyParity (physics)Family planningReproductive healthOddsYoung adultObstetricsPopulationFamily medicineGynecologyEnvironmental healthGerontologyResearch methodology

Abstract

fetched live from OpenAlex

This study examines the use of induced abortion among Cameroonian adolescents and young women, based on biographical data collected in 1997 among young women and men residing in Yaoundé. Results suggest a high prevalence of abortion during adolescence and early adulthood (35 percent of all pregnancies reported). Although most clandestine abortions were performed by a physician or a nurse, the prevalence of abortion performed by nonmedical personnel or using unsafe methods is still high, and postabortion health complications are reported for about one-fourth of all abortions. Logistic regression models are used to examine the effect of women's, partners', and relationships' characteristics at the time of pregnancy on the odds that a pregnancy will be terminated through abortion. The analysis shows a significant effect of school enrollment, parity, and stability and social acknowledgment of the sexual relationship on the risk of having an abortion. Young men's involvement in decisions and their motivations concerning abortion are also examined.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.067
GPT teacher head0.351
Teacher spread0.284 · 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