Chinese ethnic business : global and local perspectives
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
1. Introduction: Chinese Ethnic Business and Globalisation Erik Fong and Chiu Luk Part 1: Economic Globalization, and Community Development and Chinese Ethnic Businesses 2. The Chinese Language Media and the Ethnic Enclave Economy in the United States Min Zhou and Guoxuan Cai 3. Globally Connected and Locally Embedded Financial Institutions: Analyzing the ethnic Chinese banking sector Wei Li and Gary Dymski 4. The New Chinese Business Sector in Toronto: A Spatial and Structural Anatomy of Medium and Large-sized firms Lucia Lo and Shuguang Wang Part 2: Transnational Linkages and Chinese Ethnic Businesses 5. Globalization, Transnationalism, and Chinese Transnationalism Ivan Light 6. Business Social Networks and Immigrant Entrepreneurs from China Janet Salaff, Arent Greve and Siu-Lun Wong 7. From Batlers to Transnational Ethnic Entrepreneurs?: Immigrants from the People's Republic of China in Australia David Ip 8. The Cemetery of Huang Xuliang: Transnationalism and the Chinese Overseas in the Early Twentieth Century Michael Szyoni Part 3: Chinese Businesses, Local Urban Structures and Homogenization 9. Chinese Ethnic Economies With the City Context Eric Fong and Linda Lee 10. Business Owners and Workers: Class Locations of Chinese in Canada Peter S. Li Part 4: Homogenization: Place Attachment and Chinese Businesses 11. The Global-Local Nexus and Ethnic Business Location Chiu Luk 12. Going to Malls, Being Chinese?: Ethnic Identities among Chinese Youths in Toronto's Ethnic Economy Emi Ooka 13. Conclusion Chiu Luk and Eric Fong
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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