The future of beef production in North America
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
North America accounts for more than one-quarter of the world's beef supply. Production per animal is highly efficient, particularly in the United States and Canada, but aspects of the long-term economic and environmental sustainability of the system need critical review. Production units, especially concentrated systems like feedlots, face substantial regulatory pressure related to air and water quality, food safety issues, and animal welfare/animal rights issues. These pressures will increase in the future, as will concerns about effects of beef production on greenhouse gas emissions. Public concerns for food safety will focus greater attention on animal traceability and liability associated with foodborne pathogens. Animal rights activism and consumer perceptions about “factory farming” production methods will challenge the use of concentrated feeding operations and pharmacological technologies in North American beef production systems. Animal protein sources should play an important role in meeting global food demands, but to benefit from this demand, North American beef producers must produce safe, wholesome products, while placing greater emphasis on environmentally sound practices that maintain the highest standards for animal well-being.
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 | 0.000 | 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 it