Bibliographic record
Abstract
This paper discusses the paradoxical trajectory that China’s HIV epidemic has taken and the important role that its border with Burma plays in determining this unique epidemic pattern. After providing some brief background on the region that serves as the ‘ground zero’ for China’s HIV epidemic I offer a discussion on the meaning of borders. Borders take on various meaning and significance to local, national, and international governing bodies. They assume a different level of importance, yet, to the people who inhabit the border. The Chinese-Burmese border is remote yet economically and strategically significant to the Chinese and Burmese governments in Beijing and Rangoon. It also, of course, holds great significance to the local governments that directly control and inhabit the territory on either side of the border. And it holds different significance, yet, for the local people who call this borderland home. A discussion of the various meanings this border holds both locally and nationally will explain why the HIV epidemic in China started in such a remote area before spreading to more urban centers. It will also highlight the need for directing more programmatic and policy related attention toward this important and strategic border area. I describe a nexus of relationships at the local and national levels that have become economically interdependent in a region that is fairly removed from the global economy. Their situation in a region where they have access to illicit yet economically lucrative resources has created what Manual Castells calls a ‘perverse economy’ (Castells 1998); a black hole in the global economy that easily nurtures the development of an HIV epidemic. The black hole I describe, however, sits at the crossroads of Asia, giving it strategic significance in the region.
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 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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".