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Record W2810071651 · doi:10.1186/s12884-018-1907-x

Obstetric fistula policy in Nigeria: a critical discourse analysis

2018· article· en· W2810071651 on OpenAlexafffund
Oluwakemi Amodu, Bukola Salami, Magdalena S. Richter

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2018
Typearticle
Languageen
FieldMedicine
TopicUreteral procedures and complications
Canadian institutionsUniversity of Alberta
FundersFaculty of Nursing, University of AlbertaUniversity of AlbertaAustralian GovernmentUnited Nations Population Fund
KeywordsCritical discourse analysisPolicy analysisMedicineHealth policyDiscourse analysisRhetorical questionThematic analysisGovernment (linguistics)Frame analysisPublic administrationSociologyPublic relationsLawPublic healthPolitical scienceContent analysisNursingQualitative researchSocial sciencePoliticsIdeology

Abstract

fetched live from OpenAlex

BACKGROUND: In 2012, Nigeria's Federal Ministry of Health published its National Strategic Framework for the Elimination of Obstetric Fistula (NSFEOF), 2011-2015. The framework has since lapsed and there is no tangible evidence that the goal of eliminating obstetric fistula was met. To further inform future policy directions on obstetric fistula in Nigeria, this paper explores how the NSFEOF conceptualized obstetric fistula and its related issues, including child marriage and early childbearing. METHODS: A critical discourse analysis of the policy was performed. We examined four policies in addition to the strategic framework: the Nigerian constitution; the Marriage Act; the Matrimonial Causes Act; and the National Reproductive Health Policy. We used the three phases of critical discourse analysis: textual analysis, analysis of discourse practice, and analysis of discursive events as instances of sociocultural practice. RESULTS: The analysis demonstrates that, despite its title, the policy document focuses on reduction rather than elimination of obstetric fistula. The overall orientation of the policy is downstream, with minimal focus on prevention. The policy language suggests victim blaming. Furthermore, the extent to which subnational stakeholders in government and civil society were engaged in decision-making process for developing this policy is ambiguous. Although the policy is ostensibly based on principles of social justice and equity, several rhetorical positions suggest that the Nigerian constitutional environment and justice systems make no real provisions to protect the reproductive rights of girls in accordance with the United Nations' "2030 Agenda for Sustainable Development." CONCLUSION: This analysis establishes that the Nigerian constitution, justice environment and the obstetric fistula policy itself do not demonstrate clear commitment to eradicating obstetric fistula. Specifically, a clear commitment to eradicating obstetric fistula would see the constitution and Marriage Act of Nigeria specify an age of consent that is consistent with the agenda to prevent obstetric fistula. Additionally, a policy to end obstetric fistulas in Nigeria must purposefully address the factors creating barrier to women's access to quality maternal healthcare services. Future policies and programs to eliminate obstetric fistulas should include perspectives of nurses, midwives, researchers and, women's interest groups.

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)0.022
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.007
Science and technology studies0.0180.020
Scholarly communication0.0140.012
Open science0.0010.006
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.324
Teacher spread0.306 · 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 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

Citations23
Published2018
Admission routes2
Has abstractyes

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