Bibliographic record
Abstract
SAB1-O-06 The failure to control infectious diseases is a major international health issue. Long-standing problems such as infectious gastroenteritis, malaria, cholera, and dengue fever exact an enormous toll on the world's poorest populations. Eradication earlier this century of smallpox and the development of increasingly potent antimicrobials contributed to the belief that most major infectious diseases could eventually be controlled. Yet infectious diseases continue to be a scourge worldwide. Rich industrialized countries again fear pandemic disease like severe acute respiratory syndrome (SARS) and influenza. Many other pandemic diseases are a daily burden for developing countries. Pandemic spread of infectious diseases is characterized by the large number of people infected, contagion and rapid spread, difficult treatment and containment, and occurrence in many geographic loci. Pandemic influenza and SARS are perhaps best known because of their high mortality and very rapid spread around the world from one geographic source. Cholera, dengue, and HIV/AIDS easily qualify as pandemics, as do childhood infectious gastroenteritis, malaria, and hepatitis B virus. Pandemics are distinguishable by our inability or failure to contain disease spread. Pandemics appear to emerge and persist in developing countries more so than in richer countries, this for several reasons. First, many diseases capable of pandemic spread are zoonoses (transmissible between animals and people) that emerge in populations in intimate contact with livestock or wildlife. Second, densely populated human settlements with poor sanitation and health care fuel pandemics. Third, pandemics spread best if neglected for a time, this being more likely to happen outside of rich developed countries. Finally, new diseases appear to emerge most readily in areas undergoing rapid environmental change, such change also preventing communities from being resilient to the population-level impacts of disease. Much health research into pandemics is based on biomedical control strategies: vaccination, containment, quarantine, and eradication. These measures are proven effective in certain circumstances (smallpox), but they do not favour upstream investigations into the emergence of disease. Ecohealth approaches tackle all drivers of pandemic spread: social, economic, and environmental. Ecohealth approaches could be used to understand how social conditioning surrounding animal rearing may favor the evolution of influenza. Participatory methods typical of ecohealth elucidate new approaches that will be culturally appropriate yet effective in stopping the transmission of disease at some critical juncture (say, interrupting spread of influenza from chickens to pigs and then to people). These and other strengths of the approach are discussed.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".