World production of pig meat and its tendencies
Bibliographic record
Abstract
This paper analyses the state of production of pig meat in the world, by continents and by countries. It is established that the total production of pig meat is increasing. It amounted to 71,155,000 tons in 1991, and 90,909,000 tons in 2000. Tendency of annual increase in pig meat production in the period 1991-2000 was positive and amounted to 1,815,497 tons. Observing by continents, the highest pig meat production in 2000 was recorded in Asia (50,149,000 tons), then in Europe (22,625,000 tons) and North and Middle America (11,560,000 tons).Tendency of pig meat production in 1991-2000 in all continents was positive, except for Africa, where it was negative. The leading pig meat producers in 2000. were: China (43,058,000 tons), USA (8,532,000 tons), Germany (3,850,000 tons), Spain (2,962,000 tons), France (2,315,000 tons), Poland (1,900,000 tons), Brazil (1,804,000 tons), Canada (1,675,000 tons), Denmark (1,650,000 tons), The Netherlands (1,643,000 tons), Italy (1,475,000 tons), Japan (1,250,000 tons), Belgium Luxembourg (987,000 tons) and G. Britain (923,000 tons).. Positive tendencies in pig meat production in 1991 - 2000 were recorded in the following countries: China, USA, Spain, Brazil, Canada, Denmark, France Germany, Italy, Belgium - Luxembourg, G. Britain, Yugoslavia, Poland, The Netherlands, India, Argentina, New Zealand, Slovenia and Croatia. Negative tendencies in pig meat production in 1991 - 2000. were recorded in: Austria Hungary, Romania, Russian Federation, Czech Republic, Japan, Venezuela and Bosnia and Herzegovina.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".