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Record W2054898776 · doi:10.1068/a4414

Landscapes of Economic Deprivation and Locally Distilled Liquor ( <i>Kachasu</i> ): An Emerging Milieu of HIV/AIDS Risk in Urban Northern Malawi

2011· article· en· W2054898776 on OpenAlexaff
Paul Mkandawire, Isaac Luginaah, Joshua Tobias

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2011
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsWestern University
Fundersnot available
KeywordsVulnerability (computing)Context (archaeology)PoliticsSociologyDisciplineHuman immunodeficiency virus (HIV)Economic growthWork (physics)PovertyGeographySocioeconomicsPolitical scienceSocial scienceArchaeologyEconomics

Abstract

fetched live from OpenAlex

The paper examines how structural vulnerability to HIV/AIDS in Malawi is produced through a complex interplay of economic, cultural, and political factors operating over relational places within the country as well as in the wider Southern Africa subcontinental landscape. Based on empirical work on an impoverished community in the Chibavi township of Mzuzu City in northern Malawi, and drawing on disciplinary perspectives from social psychology and geography, the study does not only demonstrate how vulnerability to HIV/AIDS in this urban centre emerges from the immediate context of pervasive economic deprivation and ready availability of locally distilled highly potent liquor known as kachasu, but also shows how these social realities are intimately connected with an overlapping set of historic processes operating at various temporal and spatial scales. The paper provides a nuanced understanding of the geographies of vulnerability to the AIDS epidemic in northern Malawi and concludes with relevant policy recommendations.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.453

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 head0.038
GPT teacher head0.296
Teacher spread0.259 · 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

Citations9
Published2011
Admission routes1
Has abstractyes

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