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Record W1943616117 · doi:10.1080/13691058.2015.1070436

(Not) getting political: indigenous women and preventing mother-to-child transmission of HIV in West Papua

2015· article· en· W1943616117 on OpenAlexafffund
Jenny Munro, Lynn McIntyre

Bibliographic record

VenueCulture Health & Sexuality · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchWorld Health Organization
KeywordsComplicityIndigenousPsychological interventionPoliticsEthnographyEconomic growthQualitative researchGender studiesSociologyPolitical sciencePublic relationsMedicineNursingSocial science

Abstract

fetched live from OpenAlex

This paper builds on critiques that call for a more nuanced and contextualised understanding of conditions that affect HIV prevention by looking at West Papuan women's experiences of prevention of mother-to-child transmission services. Drawing on qualitative, ethnographic research with indigenous women and health workers, the paper demonstrates that women experience poor-quality HIV education and counselling, and that indigenous practices and concerns are largely not addressed by HIV services. We attribute this to a combination of national anti-indigenous and anti-separatist political concerns with donor-led interventions that result in limited localisation and reduced effectiveness of HIV prevention measures. In West Papua, services are needed that enhance cooperation and shared commitment, and that acknowledge and work to overcome existing inequalities, ethnic tensions and discrimination in the health system. Beyond Indonesia, donor-led HIV programmes and interventions need to balance avoidance of politically sensitive issues with complicity in perpetuating health inequalities. Translating global health interventions and donor priorities into locally compelling HIV prevention activities involves more than navigating local cultural and religious beliefs. Programme development and implementation strategies that entail confronting structural questions as well as social hierarchies, cleavages and silences are needed to render more effective services; strategies that are inherently political.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.033
GPT teacher head0.365
Teacher spread0.332 · 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

Citations19
Published2015
Admission routes2
Has abstractyes

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