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Record W4403513074 · doi:10.3390/youth4040094

Abortion as a Muted Reality in Uganda: Narratives of Adolescent Girls’ Agentive Experiences with Pregnancy Termination

2024· article· en· W4403513074 on OpenAlexafffund
Doris M. Kakuru, Jackline Nabirye, Jacqueline Nassimbwa

Bibliographic record

VenueYouth · 2024
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Victoria
KeywordsAbortionNarrativePregnancy terminationPregnancyPsychologyObstetricsSociologyArtMedicineLiterature

Abstract

fetched live from OpenAlex

Pregnancy termination, also referred to as abortion, is a contentious subject in many countries. Uganda’s culture requires young people to remain celibate; they therefore suffer from restricted access to any sexual and reproductive health information, products, and services, including contraceptives. Girls who are pregnant in Uganda are oppressed in various ways, including being expelled from school. Since abortion is illegal under Ugandan law, those abortions that take place are assumed to have a high risk of being unsafe. Most previous studies in the African context have thus focused on the phenomenon of unsafe abortion. Adolescent abortion is characterized by a rhetoric of pathology that frames girls as victims of deadly unsafe abortion practices. This paper aims to critique the view that pregnant adolescent girls are merely vulnerable victims who passively accept the denial of SRH services, including abortion. We analyzed the life histories of 14 girls in Uganda who had undergone pregnancy termination. Our findings showed that adolescent girls are not passive victims of the structural barriers to abortion. They use their agency to obtain knowledge, make decisions, successfully terminate pregnancy, and conceal the information as needed. It is therefore important for policymakers to acknowledge the agency of adolescent girls in regard to pregnancy termination and how this recognition could be of benefit in terms of devising appropriate supports for them.

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 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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.231

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 head0.037
GPT teacher head0.339
Teacher spread0.302 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations6
Published2024
Admission routes2
Has abstractyes

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