Writing Chinese Labour History: Changes and Continuities in Labour Historiography
Bibliographic record
Abstract
In the s, the authors of most historical studies in China began to move in new directions owing to a combination of internal changes and outside influences. Conversely, studies of pre-1949 labour movements in China continue to reflect a perspective that is largely monolithic. While Chinese social historians tend to be, in many ways, innovative and forward-thinking, historians whose primary focus is labour often persist in defending, and even advocating, Maoist jargon. North American New Labour History, together with Women’s Studies and Slavery Studies, continue to be shaped by the climate of thought peculiar to the West in the 1960s. Chinese labour historians have been reticent to adopt much from such developments, thus distinguishing themselves both from Western historians generally and Chinese historians focused on other subject matters. This paper offers a tentative explanation for this historiographical anomaly by focusing on three issues. First, I summarize Western interpretations of pre-1949 Chinese labour and identify broad differences separating Western interpretations of Chinese labour movement trends from those conceived by Chinese scholars. Next, I present a discussion of major debates in labour historiography to shed some light on the different perspectives adopted by Chinese labour scholars relative to other social historians. Finally, I examine a number of factors that contribute to Chinese labour historians’ reticence to embrace and adapt newer models, and conclude by noting that beneath the apparent consistency of message characterizing pre-1949 Chinese labour studies in general, political and social changes are having a subtle impact on the ways in which Chinese labour historians depict the working-class. REVIEW ESSAY / NOTE CRITIQUE
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".