Present situation and future perspective of buffalo production in 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
America has a buffalo population of approximately 4 .12 million heads. Its number is growing at the explosive rhythm of 12.7 % per year, well above all other continents. Within this context the different situations of countries in North, Central and, mainly, South Americ a subcontinents are described. They all share a brilliant future for the buffalo. The production systems in North and Central America are described, mainly in the United States, Cuba and Trinidad. And the fist steps of buffaloes in Canada, Mexico, Panama, Costa Rica, Guatemala, Honduras and Belice. South American countries production systems are described too. First of all Brazil, a subcontinent itself rearing 3,5 million buffaloes, together with Venezuela and Colombia, during the last 30 years they had a g reat expansion in meat and milk production with buffaloes. In Argentina buffalo meat production increased significantly in the last years, because of the expansion of agriculture,that is displacing animal production toward the tropics, where buffalo is mo re efficient than cattle. The first steps of buffaloes in Guyana, Surinam, French Guiana, Per˙, Ecuador, Paraguay, Bolivia, Uruguay and Chile are described.In equatorial, tropical and subtropical areas of America the buffalo has proved to be very superior in productivity compared with cattle, thanks to its very good adaptation to these conditions. And in the temperate areas buffalo is increasing its milk industry, near important urban markets. Thus, american continent has enormous areas available for buffa lo, converting it in an extremely valious tool to achieve prosperity and increase food production of latin american developing countries.
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 | 0.001 | 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