OBSERVATION ON LAND USE AND FACILITY LOCATION OF ATSUTA BASHO IN LATE EDO ERA AND EARLY MEIJI PERIOD
Bibliographic record
Abstract
Atsuta Basho, one of the 85 fisheries in Ezochi (Hokkaido) in Edo Era, represents a specific settlement formation process while its location was deliberately chosen in order to facilitate Unjoya, trading house equipped with accommodation for fishermen. This research based on the analysis of old documents and drawings executed by Kaitakushi (Hokkaido Development Government at the beginning of Meiji Period) leads to the clarification of unique land use system in Atsuta where indigenous ainu and Japanese immigrants shared living quarters along a river in Kotanbet. The reconstruction of the trading quarter in Oshorkot proves the juxtaposition of separated facilities such as Unjoya, administrator's houses and warehouses on an elevated terrace along the seashore. Comparatively wider ainu land property was maintained until the beginning of Meiji Period despite the diminution of its population. The expropriation of Unjoya by the Kaitakushi government suspended the private initiative of local governance by the contractor, Hamaya, who consequently developed Kotanbet area by implementing wider private fishery facilities there, and radically transformed the land use and townscape of Kotanbet- Oshortot complex.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".