Quarter of pig farmers readily viewed information on Toxoplasma gondii infection in pigs provided in a data exchange system of a Dutch slaughter company
Bibliographic record
Abstract
Toxoplasma gondii (T. gondii) is a food safety hazard causing a substantial human disease burden. Because infected pig meat is estimated to attribute 12 % to this disease burden, it is important to control T. gondii infection in pigs. Providing pig farmers with information on T. gondii infection in general, and more specific on the status on their farm, could motivate them to take actions. In this study, we analysed the strategy pig farmers used to view specific T. gondii information provided for the first time on webpages in an existing data exchange system of a Dutch pig slaughter company. The available information for farmers comprised a webpage displaying the farm-level T. gondii seroprevalence and a webpage with information on risk sources and control measures for T. gondii infection in pigs and on human health consequences of a T. gondii infection. A total of 1404 owners of pig farms logged in the data exchange system. Of these, a quarter viewed the webpage with information on T. gondii seroprevalence, and about of third of them also viewed the webpage with the information on risk sources and control measures. T. gondii seroprevalence exceeded 2.0 % at only 0.6 % of these 1404 farms. The seroprevalence level on a particular farm neither influenced the likelihood of the farmer viewing the webpage with the T. gondii seroprevalence, nor the likelihood of them continuing to the webpage with the additional information. In the days when the pop-up message was included, the number of views registered on the seroprevalence and the additional information webpages rose nine and two times, respectively. Since the majority of views was in the period with a pop-up message pointing to this information we conclude that a targeted pop-up might help to transfer needed information to farmers with higher T. gondii seroprevalence at farm-level. More general, our study provides valuable insight into pig farmers' viewing strategies of new information on food safety hazards provided in a slaughter data exchange system.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".