Social Change Communication: Need of the Hour for the Prevention of HIV/AIDS
Bibliographic record
Abstract
UNLABELLED: For the last three decades or so, we all have been living with the pandemic of HIV and AIDS. Human behaviour is complex; widespread behaviour changes are challenging to achieve. Understanding the dynamics of HIV transmission can not be separated from an understanding of the broader context of poverty, inequality and social exclusion which create conditions where unsafe behaviour flourishes. HIV/AIDS is not a mere health issue: its occurrence is influenced by a number of socio-economic, cultural and ecological determinants. Social change communication is an inclusive way of responding to HIV/AIDS issues. Social change communication can tackle structural drivers of the HIV epidemic, with a particular focus on the drivers of gender inequality, stigma and discrimination, and human rights violations. Social change communication is bound to emerge as the vaccine and panacea for HIV and AIDS. KEYWORDS: HIV; AIDS; Behaviour; Social change communication.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.084 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".