Bibliographic record
Abstract
For many Americans, Virginia ham is a long established part of a festive family dinner. But good old American traditions like that can carry new meaning in a global economy. The recent news that Smithfield Foods, owner of leading pork brands like Smithfield Ham, Eckrich sausages, Armour meatballs and Farmland bacon, is to be acquired by Chinese company Shuanghui International Holdings Ltd. caused indigestion for some in the United States. The $4.7 billion deal, announced on May 30, 2013, would be the largest acquisition of a U.S. company by a Chinese firm. It is another of a series of recent significant global acquisitions by Chinese firms. Other examples include the 2012 purchase of the AMC movie chain by Dalian Wanda Group Corp. of Bejing and the 2013 acquisition, of Canada’s Nexen by China National Offshore Oil Corporation (Cnooc). At year’s mid-point, 2013 promises to be a record year for Chinese foreign direct investment in the United States. It is also indicative of a new focus for Chinese investment : branded consumer businesses. Chinese businesses, some state-owned, have proven remarkably successful in the global economy. Many American companies in a broad range of industries source their manufacturing activities or components from China. Within a few decades, China has developed into a manufacturing powerhouse, accounting for over ten percent of global exports. - See more at: http://michaelczinkota.com/2013/06/yes-virginia-the-ham-is-chinese-part-1/#sthash.PopDBJOC.dpuf
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.488 | 0.337 |
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".