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Record W3082387608 · doi:10.17742/image.in.11.2.13

Learning from the Role of Art in Political Advocacy on HIV/AIDS

2020· article· en· W3082387608 on OpenAlexvenueno aff
Steven J. Hoffman, Annemarie Hou, Annie S. K. Jones, Julia Woo

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)PoliticsPolitical scienceSociologyPsychologyMedicineVirologyLaw

Abstract

fetched live from OpenAlex

This essay uses a mixed-methods approach combining scoping review, thematic qualitative analysis, and case study methodologies to identify relationships between art and political advocacy in the context of the AIDS epidemic. Thirty-four relevant articles were found through a comprehensive literature search focused on social scientific analyses. Three key themes were identified: addressing negative stereotypes; the importance of education; and giving voice to individuals affected by HIV. The significance of iconic artist Keith Haring and two important artworks related to HIV advocacy—the Keiskamma Altarpiece and the Ribbon Project—are discussed, with lessons distilled for the role that art can play in political advocacy on global health issues more broadly.

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)0.002
metaresearch head score (Gemma)0.052
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.052
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
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 head0.345
GPT teacher head0.629
Teacher spread0.284 · 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.

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

Citations4
Published2020
Admission routes1
Has abstractyes

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