Meaning of small grains cultivation as a traditional occupation in Japan
Bibliographic record
Abstract
Traditional occupations hold important meanings, as they have been passed down from generation to generation. However, many occupations are endangered due to shifting practices and standards associated with globalization. The purpose of this study was to explore the meaning of the traditional occupation of small grains cultivation in Japan, which has been integral to farming in the region for over 2,800 years. Ethnography and community-engaged research were used to conduct this study in three locations in Japan: Karumai Town and Towa Town in Iwate Prefecture, and Shiiba Village in Miyazaki Prefecture. Across the 10 participants, 29 meanings were identified and clustered under 6 themes: Culture/Ancestral practice, Sustainable way of life, Nurturing the soul, Health and well-being, Eating experience, and The legacy of sharing and collaboration. Among the participants, we found understandings that small grains cultivation contributes to social issues, such as food security and the health of the land through refined practice, while also contributing to the well-being of the cultivators by providing nutritious food and nurturing their souls. Generational differences between cultivators were also identified. Younger generations who migrated from cities to villages are re-casting the popular negative perception of small grains cultivation, finding richness and enjoyment in practices, while older generations consider it a labor-intensive practice associated with poor people. The meanings of small grains cultivation, particularly the relationship of the human experience to the natural environment, shed light on the richness of engaging in such occupations; insights that are typically neglected in the modern societies of the 21st century.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".