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Record W4392973052 · doi:10.26443/mjgh.v10i1.1329

Female Genital Mutilation in Kenya

2021· article· en· W4392973052 on OpenAlexaff
Corinne Sabetti, Megan Traversy, Elina Gentilhomme, Maximiliano Dean

Bibliographic record

VenueMcGill Journal of Global Health · 2021
Typearticle
Languageen
FieldMedicine
TopicFemale Genital Mutilation/Cutting Issues
Canadian institutionsMcGill University
Fundersnot available
KeywordsFemale circumcisionPsychological interventionIntervention (counseling)SocioeconomicsGeographyHuman rightsMedicineEnvironmental healthDemographyPolitical scienceGynecologySociologyLawNursing

Abstract

fetched live from OpenAlex

Female genital mutilation (FGM) is practiced in 30 countries, mainly concentrated in the Western, Eastern, and North-Eastern regions of Africa, in some countries the Middle East and Asia, as well as among migrants from these areas (1). FGM is therefore a global health and human rights concern. Although the prevalence of FGM has decreased in the past years, some communities still resist abandoning the practice. Kenya is a distinctive example of a country where the practice of FGM has decreased significantly but interventions have failed to eliminate the practice at a local and national level. The purpose of this case study is to provide an overview of interventions that have been carried out in different communities of Kenya and assess what is necessary for an intervention to be successfully implemented and have a positive impact in communities.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.034
GPT teacher head0.368
Teacher spread0.334 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueMcGill Journal of Global HealthSame topicFemale Genital Mutilation/Cutting IssuesFrench-language works237,207