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Popular Moralities and Institutional Rationalities in Malawi's Struggle Against AIDS

2014· article· en· W2012373507 on OpenAlexaff
Nicole Angotti, Margaret Frye, Amy Kaler, Michelle Poulin, Susan Watkins, Sara Yeatman

Bibliographic record

VenuePopulation and Development Review · 2014
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of Alberta
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute on Aging
KeywordsNewspaperSkepticismSociologyGender studiesCriminologyAbstinencePolitical scienceMedia studiesLawEpistemology

Abstract

fetched live from OpenAlex

The AIDS epidemic in sub‐Saharan Africa is fertile ground for examining how moral evaluations evolve over time and across different settings. We compare the discourse on AIDS in Malawi as presented in the media with that of everyday conversations. Drawing on two sets of texts, newspaper articles and conversational journals, produced over a ten‐year period from 1999 through 2008, we analyze their moral injunctions, or what individuals should or should not do in response to the AIDS epidemic. The predominant injunctions in the early years in both sources were premarital abstinence and marital fidelity. Following the introduction of HIV testing and treatment, however, the discourses diverged. Discourse in the media turned toward moral injunctions requiring individuals to interact with authoritative institutions; thus the conceptual center of gravity of the struggle against AIDS in the media shifted from collectivities of individuals to collectivities of institutions. Rural Malawians, however, received these moral injunctions with great skepticism and continued to advise each other to prevent death by controlling one's sexual appetites.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.004
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.142
GPT teacher head0.425
Teacher spread0.283 · 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

Citations12
Published2014
Admission routes1
Has abstractyes

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