Globalization, Market Economy and Social Inequality in China: Exploring the Experience of Migrant Teachers
Bibliographic record
Abstract
This study explores the experience of migrant teachers in China. In particular, it examines how China’s market economy might have impacted on the status and living and working conditions of migrant teachers. The study adopts a case study approach, drawing on personal interviews with 21 school teachers in Shenzhen and Zhuhai of Guangdong Province. The findings reveal that despite China’s economic miracle, migrant teachers’ status and teaching and living conditions have not improved. On the contrary, they have deteriorated. Migrant teachers are paid less, live in poor housing conditions, and face heavy workload. Many teachers have to tutor outside of school hours or work a second job to make ends meet. Through an account of the experience of migrant teachers in China, this study contextualizes the concept of globalization by examining its impact on China through the influence of the market economy. It also reveals a number of social injustice and inequality in education which requires the Chinese government to take immediate actions to reduce and eliminate it.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".