An Integrated Approach to Visioning for Peripheral Farming Villages: A Case Study of Japan
Bibliographic record
Abstract
This paper demonstrates a case study to comprehensively understand Japanese rural society, proposing an integrated approach to visioning sustainable rural society in the context of developed countries. We first provided an overview of Japanese agricultural history and conducted interviews with individuals regarding their life histories in two peripheral research fields in Japan. We then analyzed these life histories and compared them with the macro trends of agricultural policy. In particular, our analyses shed light on the interactions between agricultural policies, individuals’ life and local resource endowments in rural areas. Specifically, human, natural and man-made capitals in Japanese rural society have changed in the way they are used while agricultural policies have exclusively focused on rice production. Based on the observation, we argue that Japanese policy might have hindered farmers’ efforts and attempts in the country’s periphery. We conclude that integrating macro analysis and field research facilitates the understanding of local resources and residents’ wellbeing for conceptualizing and approaching the future of farming villages.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".