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Record W2121146305 · doi:10.1080/13648470903246854

Cultural interpretations of the efficacy and side effects of antimalarials in Tanzania

2009· article· en· W2121146305 on OpenAlexafffund
Vinay R. Kamat

Bibliographic record

VenueAnthropology and Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsUniversity of British Columbia
FundersTanzania Commission for Science and TechnologyUniversity of British Columbia
KeywordsTanzaniaGeographyPsychologyEnvironmental planning

Abstract

fetched live from OpenAlex

This paper examines the cultural interpretations and the perceived efficacy and side effects of antimalarials in Tanzania. Interviews with 56 mothers of children diagnosed with malaria revealed that they were nostalgic about chloroquine, a banned antimalarial. Additional findings indicated that a majority of the mothers had an overall negative disposition toward sulfadoxine-pyrimethamine (SP), the first-line antimalarial. Mothers considered the persistence of fever as the primary undesirable side effect of SP, while also mentioning a range of other side effects. Mothers who could not afford an alternative to SP, rationalized the drug's side effects as indicative of disease egress. It is argued that ethnographic studies of cultural perceptions of malaria and antimalarials provide useful perspectives on how people negotiate the identity of a febrile illness, and how they understand and interpret the efficacy of existing antimalarials. In acknowledging the intra-cultural variability in perceptions of malaria and antimalarials, health policy makers must be cautious when implementing a 'one drug fits all' approach to malaria control.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.009
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.348
Teacher spread0.337 · 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

Citations17
Published2009
Admission routes2
Has abstractyes

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