Bibliographic record
Abstract
In this vitally important book, medical anthropologist Holly Wardlow takes readers through a ten-year history of the AIDS epidemic in Tari, Papua New Guinea, focusing on the political and economic factors that make women vulnerable to HIV and on their experiences with antiretroviral therapy. Alive with the women’s stories about being trafficked to gold mines, resisting polygynous marriages, and struggling to be perceived as morally upright, Fencing in AIDS demonstrates that being female shapes every aspect of the AIDS epidemic. Offering crucial insights into the anthropologies of mining, ethics, and gender, this is essential reading for scholars and professionals addressing the global AIDS crisis today.;“This inspiring book sets the stage for the arrival of the AIDS epidemic in Tari. With the collapse of the state, some women turn to transactional sex for school fees and basic goods. A chorus of women tell stories of rape and abandonment and of their resilience in adopting forms of self-care that include protection for others.” SHIRLEY LINDENBAUM, author of Kuru Sorcery: Disease and Danger in the New Guinea Highlands;“Fencing in AIDS is a superb book that creates a consummate connection between an intimate ethnography of gender, sexuality, and HIV amongst Huli people in Papua New Guinea and the structural contours of the economy and politics in that country, engaging the global literature on sex, love, HIV, the state, extractive industries, and moral philosophy.” MARGARET JOLLY, Professor in the School of Culture, History & Language, Australian National University
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.659 | 0.444 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".