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
<JATS1:p>This in-depth historical analysis highlights the enormous contributions of Chinese Americans to the professions, politics, and popular culture of America, from the 19th century through the present day.</JATS1:p> <JATS1:p>While the number of Chinese Americans has grown very rapidly in the last decade, this group has long thrived in the United States in spite of racism, discrimination, and segregation. This comprehensive volume takes a global view of the Chinese experience in the Americas. While the focus is on Chinese Americans in the United States, author Jonathan H. X. Lee also explores the experiences of Chinese immigrants in Canada, Mexico, and South America. He considers why the Chinese chose to leave their home country, where they settled, and how the distinctive Chinese American identity was formed.</JATS1:p> <JATS1:p>This volume is organized into four sections: historical overview; political and economic life; cultural and religious life; and literature, the arts, and popular culture. Detailed essays capture the essence of everyday life for this immigrant group as they assimilated, established communities, and interacted with other ethnic groups. Alphabetically arranged entries describe the political, social, and religious institutions begun by Chinese Americans and explores their roles as business owners, activists, and philanthropic benefactors for their communities.</JATS1:p>
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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