The Historical Thread and Analysis of Teacher Education Policy in the Past 70 Years of New China
Bibliographic record
Abstract
Since the founding of New China 70 years ago, China’s teacher education has experienced a historical evolution from an independent closed teacher education system to a multi-open teacher education system. Starting from the paradigm of historical institutionalism analysis, this paper explores the basic logic of the evolution of China’s teacher education policy. The study finds that: in terms of structure, the psychological model of political system, economic system and social culture is a deep structure that affects the evolution of teacher education policy; the control logic of centralized management and the thinking habit of planned economy have always been running through; in history, the reform of teacher education in China is more a product driven by external factors which is a top-down, government-led “mandatory institutional change”, showing a clear path-dependent color, but there are also system fine-tuning, conversion, replacement, and even major disruption. How to find the historical “veto point” of institutional change to break through the path dependence of the existing teacher education development is a major issue in the reform of Chinese teacher education.
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 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".