Challenges and Opportunities in Parent-Teacher Relationships in Contemporary China
Bibliographic record
Abstract
This study explores how market economy affects parent-teacher relationships in China. Guided by Bourdieu’s (1986) capital theory, we interviewed twenty-one teachers and twenty parents in China. The study reveals that the market economy has impacted changes in parent-teacher relationships in several aspects. First, modern technology such as the Internet and WeChat has facilitated communication between parents and teachers with fast pace and convenience. Moreover, the study makes an original contribution to the field by challenging stereotyping assumptions towards Chinese parents who are either completely not involved or partially involved in their child’s education at home. The study shows that contemporary Chinese parents are actively involved in their children’s education both at home and at school. Furthermore, the market economy has shaken the high social status that teachers enjoyed in the past. As a result, parents prefer to adopt pragmatic approaches to parent-teacher relationships. Finally, the urban, middle-class parents whose social capital, alongside cultural, symbolic and economic capital enable them to mobilize their social networks in interacting with the school. They appear to be more likely than previous generations of Chinese parents to challenge teachers’ authority, and there have been more serious conflicts between parents and teachers. The study focuses on China, but these rare insights highlight current and emerging dangers to parent-teacher engagement with relevance to many other countries.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".