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Emergency Contraception in Post‐Conflict Somalia: An Assessment of Awareness and Perceptions of Need

2016· article· en· W2340806541 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueStudies in Family Planning · 2016
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Ottawa
FundersOntario Ministry of Health and Long-Term CareSociety of Family Planning
KeywordsSomaliFocus groupEmergency contraceptionQualitative researchPillEnthusiasmMedicineFamily planningFamily medicinePopulationPsychologyNursingEnvironmental healthSocial psychologySociology

Abstract

fetched live from OpenAlex

In conflict-affected settings such as Somalia, emergency contraception (EC) has the potential to serve as an important means of pregnancy prevention. Yet Somalia remains one of the few countries without a registered progestin-only EC pill. In 2014, we conducted a qualitative, multi-methods study in Mogadishu to explore awareness of and perceptions of need for EC. Our project included 10 semi-structured key informant interviews, 20 structured in-person interviews with pharmacists, and four focus group discussions with married and unmarried Somali women. Our findings reveal a widespread lack of knowledge of both existing family planning methods and EC. However, once we described EC, participants expressed enthusiasm for expanding access to post-coital contraception. Our results shed light on why Somalia continues to be a global exception with respect to an EC product and suggest possible politically and culturally acceptable and effective avenues for introducing EC into the health system.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.037
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.073
GPT teacher head0.439
Teacher spread0.366 · 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