Bibliographic record
Abstract
The total number of beef cows in North America has significantly declined because of lack of profitability, drought, and increasing carcass weights.
 Moreover, there has been considerable consolidation of the beef industry at all levels, from the cow-calf producer to the retailer. The number of cattle producers has declined and the size of operations has increased (Figures 1, 2, and 3). The beef business has transformed from "mom and pop" operations into large-scale, sophisticated enterprises that are profit-motivated and are achieving economies of scale by spreading fixed costs over a large number of units. As a result, there are less total patients (Figures 4 and 5) and customers for beef cattle veterinarians. Carcass weights have increased in the face of declining cattle numbers (Figures 6 and 7), thereby maintaining tonnage of beef supply to meet consumer demand. In addition, the opportunity to see these patients has been further reduced as beef producers have assumed the role of performing many of the task-oriented activities that have traditionally been reserved for veterinarians, such as primary care and pregnancy diagnosis.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".