The Origins of Chinese Chambers of Commerce in the Lower Yangzi Region
Bibliographic record
Abstract
Chinese chambers of commerce have long been the focal point of previous studies of guild organizations, the bourgeois class, and government-business relations in the late Qing period (Xu Dingxin, 1986; Zhao Hongbao, 1993). Recently, scholars have also cited them as proof of a public sphere or civil society in late imperial and Republican China (Rankin, 1986; Rowe, 1990; Strand, 1989; Zhu Ying, 1997). Although these mercantile organizations have received much scholarly attention, their origins remain controversial. Because Chinese chambers of commerce (except for the one in the British colony of Hong Kong) first appeared in Shanghai and other Lower Yangzi cities,' their emergence in local society there has been the point at issue in the scholarship of recent decades. Most early Japanese research on Chinese chambers of commerce traces their origins to the organizational confederation of late Qing guilds under Western challenge, and it distinguishes chambers from guilds mainly by their official connections (Negishi Tadashi, 1951: 27-29,355-56; Suda Saburo, 1975: 43-49; Kurahashi Masanao, 1976: 117-21).2 In contrast, Chinese Marxist historiography on chambers of commerce ascribes their rise to the development of the new bourgeoisie, particularly the commercial and industrial entrepreneurs.3 This bourgeois class received official encouragement to organize chambers and promote Chinese business in the face of foreign intrusion (Xu Dingxin and Qian Xiaoming, 1991: 2-24; Ma Min and Zhu Ying,
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".