Processual Learning, Environmental Pluralism, and Inherent Challenges of Managing a Socioeconomic Crisis: The Case of the Canadian Mad Cow Crisis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On May 20, 2003, the report of a single infected cow caused Canada to join the list of countries infected with Bovine Spongiform Encephalopathy (BSE), more commonly known as “mad cow” disease. In this article, by considering the Canadian cattle industry as a political economy, the authors assess factual aspects of the first year of the Canadian BSE crisis from a crisis management perspective. Literature suggests that the processual approach of crisis management can assist marketers in improving their responsiveness to socioeconomic disasters, thereby extending the significance of crisis management theory in marketing. Building a responsive, learning-based approach to crisis management should lead marketers to appreciate the plurality of their environment, the primary source of uncertainty. Building a responsive, learning-based approach to crisis management into the industry will safeguard both the industry and the public against both further socioeconomic crises and further food safety concerns.
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.
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 | 0.004 | 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 | 0.001 | 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 it