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FOOD INSECURITY AND MATERNAL‐TO‐CHILD TRANSMISSION OF HIV AND AIDS IN SUB‐SAHARAN AFRICA

2011· article· en· W1969372351 on OpenAlexafffund
Daniel Sellen, Craig Hadley

Bibliographic record

VenueAnnals of Anthropological Practice · 2011
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsFood insecurityFood securityTransmission (telecommunications)Environmental healthHuman immunodeficiency virus (HIV)MedicineEconomic growthImmunologyGeographyEconomics

Abstract

fetched live from OpenAlex

It is not known to what extent food insecurity may underlie the continued high rates of maternal to child transmission of HIV and AIDS (MTCT) in sub‐Saharan Africa, where most cases of pediatric HIV and AIDS are reported to occur. However, a number of plausible conceptual models and a growing evidence base drawn from both qualitative and empirical studies suggest that food insecurity contributes significantly to the epidemic of pediatric HIV infection. Specifically, food insecurity puts women at risk of HIV infection and weakens the ability of infected women and the health systems to which they may have access to prevent secondary infection of their children. Applied anthropologists have played a role in understanding some of the pathways through which food insecurity mediates biological and social risks of maternal to child transmission of HIV and AIDS. Efforts to understand and address the biocultural pathways through which food insecurity increases transmission of HIV from mothers to children can raise awareness of the importance of food and nutrition security among policy makers and program planners. Applied research on food insecurity by anthropologists can inform communities and contribute to the design of improved programs to prevent of MTCT.

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)0.001
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 score0.404
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.352
GPT teacher head0.487
Teacher spread0.135 · 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

Citations11
Published2011
Admission routes2
Has abstractyes

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