THE POTENTIAL OF INCREASING BEEF PRODUCTION IN THE BAIKAL REGION UNDER THE CONDITIONS OF TRANSFORMATION OF THE MEAT MARKET IN THE APAC
Why this work is in the frame
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Bibliographic record
Abstract
The development of beef cattle breeding is an important area of agricultural production in many countries of the world. Its products are in stable demand, but if in developed Western countries such as the USA, Canada, EU countries, beef consumption either grows at a very low rate, or does not grow or even decreases, then the countries of the Asia- Pacific Region (APR), including developing showing steady growth. This makes the Asia- Pacific beef market very attractive for meat exporters, which, unfortunately, Russia does notyet include, although it has significant potential. The article deals with the development of beef cattle breeding in the Baikal region in order to enter the beef market of the Asia-Pacific countries. In order to study the possibility of exporting beef to the markets of actively developing countries in the Asia-Pacific region, some of its features regarding the formation of demand for meat and the factors that determine it are briefly described. In particular, an increase in the well-being of the population of these countries was noted, which made previously too expensive beef more affordable for a large part of the population, as well as a change in consumer behavior, expressed in the preference for products obtained without the use of an industrial fattening system, based exclusively on stall keeping and the widespread use of concentrated feed, synthetic feed additives and muscle mass growth stimulants. Also, a higher quality of beef was noted as a result of the use of a pasture fattening system, which can be widely used in the conditions of the Baikal region, which suggests an export-oriented vector for the development of beef cattle breeding. As confirmation, some basic characteristics of the region are given, which make it possible to substantiate the prospects of the considered direction of development of regional animal husbandry.
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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 | 0.017 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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