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Record W2127953864 · doi:10.7202/015770ar

The (Globalized) Three Amigos: Translating and Disseminating HIV/AIDS Prevention Discourse

2007· article· en· W2127953864 on OpenAlexaffvenueabout
Luise von Flotow

Bibliographic record

VenueTTR traduction terminologie rédaction · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Specialized Academic Research
Canadian institutionsUniversity of Ottawa
FundersStyrelsen för Internationellt Utvecklingssamarbete
KeywordsComicsAdventurePoliticsAnimationTarget cultureHuman immunodeficiency virus (HIV)Political scienceSociologyMedia studiesLinguisticsHistoryPublic relationsMedicineComputer scienceLiteratureArtificial intelligenceVirologyArtPedagogy

Abstract

fetched live from OpenAlex

The effects of a translated text are notoriously hard to trace and establish. However, in the case of The Three Amigos , a series of short public service announcements on HIV/AIDS prevention that feature three comic figures (animated condoms) and accompany them through numerous adventures in 50 languages, the effects have been hugely successful–measurable in numbers of condoms sold! This article studies some of the translation problems posed by this Canadian production, and examines aspects of the Anglo-American source culture that are now hampering the distribution of this highly successful work. It thus positions translation dissemination as an issue related to source culture policies and politics that may play a bigger role in translation “effects” than a felicitous translation. Keywords: translating HIV/AIDS discourse, translating animation, translating wordplay and jokes, translation and source culture politics.

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)0.008
metaresearch head score (Gemma)0.012
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 score0.019
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.013
Scholarly communication0.0100.004
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.087
GPT teacher head0.340
Teacher spread0.253 · 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

Citations2
Published2007
Admission routes3
Has abstractyes

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