Bibliographic record
Abstract
Zoonotic diseases like SARS-CoV-2, the virus that has caused the COVID-19 pandemic, are human bacterial and viral infections that originate in animals and which cross the species barrier. Over the course of the twenty-first century, the process of viruses transiting across the species barrier appears to have accelerated as a succession of new diseases has emerged. This paper argues that the forces accelerating the emergence of zoonotics lie in the structural characteristics of the capitalist world food system, which is concerned with the production of commodities whose value can be realised through market sales that generate profits for the producer of the commodities. However, the COVID-19 pandemic has thrown the capitalist world food system onto the precipice of a crisis, if crisis is understood as an interruption in the process of capital accumulation, because the terms and conditions by which the capitalist world food system operates serve to simultaneously multiply and deepen threats to global health. In other words, there is a co-morbidity between COVID-19 and the capitalist world food system.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".