A Traditional Japanese House with a Jointed Wooden Frame and Tsuchikabe Walls: the Kamogawa House in Chiba
Bibliographic record
Abstract
The story behind the house built by Seyseysha in Kamogawa (Chiba) began with a couple who wanted a home where their children could grow up freely in nature. So Makoto Fukada and the Seyseysha team set to work using age-old construction methods to craft a dwelling for them in the lush outskirts of Kamogawa. These traditional techniques rest on a solid, centuries-old foundation. Builders of yore, always mindful of Japan’s climate, topography, and regional specificities, developed methods for creating homes that would be sturdy, long-lasting, and at ease in their surroundings. The resulting structures, layouts, and designs of traditional Japanese houses adopt forms attuned to what nature offers, and the Kamogawa House is no exception. With its formal integrity, the dwelling evokes the spirit of a bygone age when people and nature partook in a symbiotic harmony.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".