Bibliographic record
Abstract
Between March and June 2020, a series of outbreaks of coronavirus (SARS-CoV-2) occurred in meat factories extending from Europe to North America, including those in the USA, Canada, Germany, France, Spain and the UK. Many hundreds of workers were affected in an outbreak at Sioux Falls, South Dakota, USA, and at Tonnies, near Gütersloh, North Rhine-Westphalia, Germany, as well as near High River, Alberta, Canada. In a meat factory in Anglesey, Wales, more than 150 workers were affected. Various reasons have been proposed for the outbreaks, including the crowded working conditions, the cold working environment, workers not wearing masks properly or not at all, and the need for workers to talk loudly over the background noise of machinery. Most experts and commentators seem to be baffled and have spoken about the need for further investigations. While those factors may have been involved there are certain practices within such facilities which, I believe, should also be considered. Common to meat factories is the frequent washing down and brushing of floors and surfaces to maintain hygiene. Those procedures are very effective methods for generating large quantities of droplets and aerosols, especially when high-pressure hosing is employed.1 If the floor or surface is contaminated with coronavirus, perhaps unknowingly, by droplets from one or more infected workers, it is likely that aerosols of infectious particles will be dispersed into the atmosphere and would then pose a considerable risk of airborne virus infection for the workers in that environment. Within a chilled atmosphere workers could be at risk for relatively long periods as the virus will be more stable. The occurrence of a high incidence of infection in meat factories within a short period is, I believe, more likely to be the result of workers being infected from the same source simultaneously rather than by person-to-person transmission. In the latter case, the occurrence of cases would have been more protracted due to the five- to 14-day incubation period, instead of the sharp ‘spikes’ that were seen. This is not to say, of course, that both mechanisms did not occur. There might have been a series of introductions, followed by infection from the contaminated environment, followed by person-to-person transmission. There is a need to provide better protection from airborne virus for workers within meat factories Finally, workers could be screened frequently to reduce the likelihood of those with coronavirus entering the facilities.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 0.001 |
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".