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Record W4205130268 · doi:10.1111/maq.12686

Blood and Blood: Anti‐retroviral Therapy, Masculinity, and Redemption among Adolescent Boys in the Eastern Cape Province of South Africa

2022· article· en· W4205130268 on OpenAlexafffund
Lesley Gittings, Christopher J. Colvin, Rebecca Hodes

Bibliographic record

VenueMedical Anthropology Quarterly · 2022
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversity of Toronto
FundersNational Institute of Child Health and Human DevelopmentNational Institute of Mental HealthMedical Research CouncilNational Institutes of HealthSocial Sciences and Humanities Research Council of CanadaNational Research FoundationInternational AIDS SocietyNuffield FoundationSouth African Medical Research CouncilUniversity of Cape TownEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentEconomic and Social Research CouncilClaude Leon FoundationOak FoundationUniversity of OxfordUNICEFCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorLeverhulme Trust
KeywordsMasculinityCapeBiosocial theoryGender studiesHuman immunodeficiency virus (HIV)NarrativeMedicineDemographySociologyPsychologyGeographyFamily medicineSocial psychology

Abstract

fetched live from OpenAlex

Adolescents living with perinatally acquired HIV are among the first generation in South Africa to grow up with anti-retroviral therapy and democratic freedoms. In this article, we explore the biosocial lives of adolescent boys and young men living with HIV in the Eastern Cape Province of South Africa. We conducted qualitative research with 36 adolescent boys and young men in 2016-2018, including life history narratives, semi-structured interviews, and analysis of health facility files. [masculinity, South Africa, HIV, adolescence].

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)0.001
metaresearch head score (Gemma)0.003
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 score0.054
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.366
Teacher spread0.313 · 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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueMedical Anthropology QuarterlySame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207