The Syphilis and HIV Connection: A Model in defense of an Anthropology of Sexually Transmitted Infections
Bibliographic record
Abstract
This paper was initiated as an effort to improve our understanding of health-seeking behaviour in individuals with sexually transmitted infections. It quickly became apparent that the social, cultural, economic, biological and political issues that influence health-seeking behaviour in individuals with sexually transmitted infections greatly differed from those who have or had other diseases. Through a critique of the most current model describing sexually transmitted infection health-seeking behaviour developed by Aral and Wasserheit (1999), this paper presents a focused argument for an anthropology of sexually transmitted infections. The Aral and Wasserheit (1999) model fails to significantly describe the health-seeking behaviour of individuals infected with more than one sexually transmitted infection simultaneously. By examining aspects of pathocenosis and epidemiological synergy, it was found that the complex interactions between syphilis and HIV/AIDS changes the way we should study health-seeking behaviour for individuals with sexually transmitted infections in general. Therefore, while examining the syphilis/HIV paradigm, it became clear that an anthropology of sexually transmitted infections is in fact necessary.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.032 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".