The political initiative of Taiwan’s education for sustainable development: Looking through the lens of Chinese legalism
Bibliographic record
Abstract
This article examines the development of Taiwan’s Environmental Education Act and how Education for Sustainable Development was mainstreamed into the national policy framework within the country. The goal is to understand the policy tools and governing strategies that were used by the Taiwan government to develop and implement a nationwide environmental education policy for integrating environmental sustainability into all areas and levels of teaching and learning. Official documents related to national plans for ESD and environmental education policies were analyzed and examined. In particular, Chinese Legalism was used as a lens to interpret the government’s philosophy, assumptions, unspoken norms, legislative practices, and deliberate strategies. Several principles and techniques proposed by Chinese Legalists were used to examine the negotiation and formulation of Taiwan’s Environmental Education Act. This analysis contributes to our understanding of the ways in which UNESCO’s framework of ESD can be transferred into a national policy. A discussion of the Chinese Legalist philosophy also offers a cultural frame of reference to think about ESD politics and governance in other East Asian contexts.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.030 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".