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Record W4404033772 · doi:10.1080/17441692.2024.2414821

Young people’s lived sexual and reproductive health citizenship: participation and power of youth in Malawi

2024· article· en· W4404033772 on OpenAlexafffund
Jannah Wigle, Anne Emanuelle Birn, Brenda Gladstone, Monica Kalolo, Paula Braitstein, Lisa Forman, Lumbani Banda

Bibliographic record

VenueGlobal Public Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaInternational Development Research Centre
KeywordsCitizenshipReproductive healthGender studiesLived experiencePower (physics)Sexual and reproductive health and rightsPolitical sciencePopulationSociologyEconomic growthPsychologyMedicineReproductive rightsPoliticsDemography

Abstract

fetched live from OpenAlex

This qualitative, focused critical ethnographic study explores how young people's 'lived SRH citizenship' and their active roles realising their sexual and reproductive health (SRH) and rights, shape their agency and participation in decision-making in Malawi. Informed by postcolonial feminist and difference-centred citizenship theories, our findings reveal that age-based power differentials, systems of gerontocracy and a culture of adultism impede bona fide youth involvement in SRH policymaking, making young citizens' participation more of an illusion than reality. Although democratisation and decentralisation aim to promote youth engagement, SRH policy spaces/processes lack institutionalised processes for integrating youth and remain dominated by donors and government. Collective efforts to build young citizens' capacity and to support their engagement are essential for realising their active and meaningful participation in SRH decision-making. Recognising youth as equal members of society is vital to expose systemic gerontocracy/adultism, and democratise power to youth in Malawi, and beyond.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.079
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.159
GPT teacher head0.447
Teacher spread0.288 · 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 designObservational
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

Citations2
Published2024
Admission routes2
Has abstractyes

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