Consumer Demand For Meat In Alberta, Canada: Impact Of Bse
Bibliographic record
Abstract
Following the case of BSE in Alberta, Canada on May 20, 2003, retail beef sales, domestic disappearance of beef and anecdotal evidence suggests that consumption of beef increased in Alberta. This article investigates fresh meat demand and the impact of BSE on fresh meat demand in Alberta during 2001-2004 through the specification of the linear almost ideal demand system. The model is extended to include a media index of BSE related newspaper articles and an index to capture the temporary loss of Alberta beef export markets. Estimated coefficients and elasticities are consistent with demand theory. The magnitude of own price elasticities are smaller compared to some other Canadian meat studies which may be due to the nature of this data set. The price during the three year period could not demonstrate upward or downward trends as clear as studies which use a much longer data period. The newspaper articles related to BSE had an adverse effect on beef (excluding ground beef) consumption while it generated a positive effect on pork demand. The border closure to beef exports increased the demand for beef. However, it had adverse impacts on pork and chicken demand. In addition, total meat expenditure and demand for beef, pork and chicken show strong seasonality trends.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".