Care for the Environment and Environmental Crime Based on Theravada Buddhist Philosophy
Bibliographic record
Abstract
From past to present, global compressions on human and environmental systems are more likely to increase than ever before in human history. With the science and technology advancement, we are living in the age of the global village that enables more convenient and brings us closer together. However, this also means that human being is suffering from global environmental crisis including the threat of war, economic crises, racial conflicts, environmental degradation, and environmental crime. This paper represents library-based work to date in Buddhist contemporary and useful perspectives and strategies on environmental protection and prevention in the backdrop of growing consumerism and capitalism influenced by western cultural in post-globalization era. Comparing to other countries, Thailand faces various environmental problems and some of them could become to environmental crime such as illegal wildlife trade; smuggling ozone-depleting substances; illicit trade in hazardous waste and pollution; illegal mining; illegal, unregulated and unreported fishing; illegal logging and associated trade in stolen timber. Since Thailand is one of largely Buddhist practical countries, measures to conserve the environment can draw on the principles and precepts of Lord Buddha’s teachings, known as Tripitaka. In Lord Buddha’s lifetime, environmental problems were not salient, but surprisingly, Lord Buddha recognised such problems because they are related to natural law. Accordingly, he established disciplinary rules for monks to live as models of not destroying the environment. The five precepts of Buddhism are the examples of the main principals in Buddhism which is regulations regarding the relation with environmental crime protection and humanity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".