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
ndeniably, trade among Mexico, Canada, and the United States has changed over at least the last five years because of the competitiveness of Chinese manufactures.This is not limited to North America.China's commercial and industrial might has an effect on different spheres of the international scene given its undeniable role as a world player.The unstoppable Asian locomotive expresses itself in many forms and trends, all linked in different ways to the globalization of the economy.Probably the most emblematic are the changes in the international division of labor that turned the millennia-old homeland of President Mao Zedong into the "world's factory," supplying an immense gamut of merchandise with both high and low value added, according to whether they were capital-or labor-intensive.According to Price Waterhouse Coopers, China is the new world giant in the auto sector with a production quota of 10.98 million vehicles in 2009 and a projected output of more than 14 million by the end of 2010.Its closest competitor, Japan, coming in second worldwide, produced 7.51 million units in 2009, while the convalescent U.S. car industry put out 5.62 million.By 2014, Chinese yearly production for the world market will have reached a little over 19 million.
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) | 0.097 | 0.218 |
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