Political Commitment versus Industrial Reality: Unveiling the Dilemma of China’s Safety Production Regime in the 1950s
Bibliographic record
Abstract
The 1950s witnessed high accident rates in China’s industrial workplaces. Previous scholarship has attributed this phenomenon to enterprises prioritizing production over safety and to the impotence of China’s labor unions in enforcing safety policies. This article proposes a third approach by exploring the Chinese Communist Party’s (CCP) mass-based safe production regime, which was designed for political struggle against capitalists as well as fulfilling its political commitments to workers, while also aiming to enhance safety. Consequently, China’s labor authorities often adopted a principle of absolving workers from accident responsibilities, often shifting blame to enterprise leaders. This approach was ineffective in preventing accidents. In addition, the party’s safety education policies fell short because they romanticized older workers as safety-conscious mentors to the younger workforce but overlooked the reality that these veterans were often more prone to accidents. The generational gap in China’s workforce also impeded the dissemination of safety knowledge and practices.
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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 | 0.003 | 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 | 0.003 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".