Thinking About “Think Again” in Canada: Assessing a Social Marketing HIV/AIDS Prevention Campaign
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Canadian "Think Again" social marketing HIV/AIDS prevention campaign, adapted from an American effort, encourages gay men to rethink their assumptions about their partners' HIV statuses and the risks of unsafe sex with them. To improve future efforts, existing HIV/AIDS prevention initiatives require critical reflection. While a formal evaluation of this campaign has been carried out elsewhere, here we use the campaign as a social marketing case study to illustrate its strengths and weaknesses, as a learning tool for other campaigns. After describing the campaign and its key results, we assess how it utilized central tenets of the social marketing process, such as formative research and the marketing mix. We then speak to the importance of theoretical influence in campaign design and the need to account for social-contextual factors in safer sex decision making. We conclude with a summary of the lessons learned from the assessment of this campaign.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it