MétaCan
Menu
Back to cohort
Record W2505327082 · doi:10.1177/2158244016663799

Engaging Black Communities to Address HIV

2016· article· en· W2505327082 on OpenAlexaffabout
Shamara Baidoobonso, Winston Husbands, Clemon George, Tola Mbulaheni, Arfan R. Afzal

Bibliographic record

VenueSAGE Open · 2016
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsOntario Tech UniversityAIDS Committee of TorontoWestern University
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)AppealSocial marketingPopulationAdvertisingPsychologyGeographyMedicineEnvironmental healthPolitical sciencePublic relationsFamily medicineBusiness

Abstract

fetched live from OpenAlex

Black people comprise 4.3% of Ontario’s population but 19% of HIV-positive people in the province. The “Keep it alive!” social marketing campaign was developed to promote HIV prevention and raise awareness about HIV among Ontario’s Black communities. This article evaluates the campaign’s reception. A convenience sample of 243 Black people completed a cross-sectional self-administered survey in three cities. We assessed the campaign’s reception based on survey responses about campaign exposure, appeal, and importance, and whether the campaign raised awareness. Our results show that reception was more favorable among participants who tested for HIV previously, discussed the campaign with others, demonstrated a superior knowledge of HIV, visited the campaign website, were of Caribbean or African background, and were male. In addition, reception varied by city and according to participants’ language (English or French). These results may inform future campaigns, although how campaigns are received may reflect issues related to their implementation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.006

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 head0.254
GPT teacher head0.494
Teacher spread0.239 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations6
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueSAGE OpenSame topicAdolescent Sexual and Reproductive HealthFrench-language works237,207