The Impacts of Chronic Wasting Disease and its Management on Recreational Hunters
Bibliographic record
Abstract
This paper examines the site choices of recreational deer hunters in context of changing levels of chronic wasting disease (CWD) and its management in Alberta. CWD is a prion disease that affects wild cervids and is found in Saskatchewan and Alberta. There are no known human health risks from CWD but the condition is fatal for cervids. The methodological approach employed utilizes both revealed and stated preference data collected from resident hunters using a computer‐based survey. The results suggest that while hunting behavior is not significantly altered by current CWD levels and management programs, there would be some changes given higher prevalence and spread levels of the disease. To avoid a situation of high CWD spread and prevalence, hunters would be willing to pay on average $20.35 per trip to keep CWD at current levels. This translated into just under a million dollars of direct economic value. Although the estimate is not large compared to other provincial economic activities, when added up over a number of years the economic losses could be substantial. Le présent article examine les choix de site des amateurs de chasse au cerf en fonction de l’évolution de la maladie débilitante chronique des cervidés (MDC) et de la gestion de cette maladie en Alberta. La MDC est une maladie à prions qui frappe les cervidés sauvages, notamment en Saskatchewan et en Alberta. Cette maladie ne semble pas présenter de risques pour la santé humaine, mais elle demeure fatale pour les cervidés. Nous avons utilisé une approche méthodologique comprenant des données sur les préférences révélées et les préférences déclarées des chasseurs résidents, recueillies au moyen d’un sondage informatisé. D’après les résultats, bien que les niveaux actuels de la MDC et les programmes de gestion n’aient pas entraîné de changements considérables sur le plan du comportement de chasse, une hausse de la prévalence et des niveaux de propagation de la maladie pourrait toutefois entraîner certains changements. Afin d’éviter une augmentation de la propagation et de la prévalence de la MDC, les chasseurs se sont dit prêts à verser en moyenne 20,35 $ par voyage de chasse pour contenir la maladie aux niveaux actuels, ce qui représenterait une valeur économique directe de près de un million de dollars. Bien que cette estimation soit faible par rapport aux autres activités économiques provinciales, les pertes financières cumulées sur un certain nombre d’années pourraient toutefois être substantielles.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".