Do Tragedy Theories Explain Satoyama's Degradation and Institutional Evolution in Japan?
Bibliographic record
Abstract
The tragedy of the commons theory refers to the overuse of the commons that can result in the degradation of the commons at local, national, and global levels. The tragedy of the anticommons theory holds that the underuse of the commons also leads to its degradation at all levels. In Japan, a once-populated satoyama (mountain landscape) has transformed into a depopulated and degraded landscape. Extant studies conceptualize the present-day satoyama as a new commons and apply the two widely popular tragedy theories to illustrate its resource degradation and institutional evolution. This article demonstrates that the present-day satoyama can be viewed as a new commons, but from an overly generic perspective, whereas the two theories are nearly irrelevant when analyzing its degradation and institutional evolution. Contrary to existing studies, neither overuse nor underuse occurs in the present-day satoyama. The satoyama experiences resource underutilization rather than resource underuse or overuse.
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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 | 0.001 | 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 | 0.000 |
| 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".