THE MAKING OF A KOREAN COMMUNITY AT HIGASHI-KUJO OF KYOTO : FROM VIEWPOINT OF RELATION BETWEEN A LAND READJUSTMENT PROJECT AND LANDOWNERSHIP BY THE KOREAN
Bibliographic record
Abstract
Our research intends to analyze the making process of Korean communities in Japan. Especially, this paper aims to find characters of the transitional process of landownership by the Korean in Higashi-Kujo area of Kyoto City. The all the factors, it was the Land Readjustment project by a public organization which most attracted the Korean to come to settle in this area. At the result of this study, we founded that Land Readjustment Project practiced in there accelerated the gathering and subsequently settling process of Korean people in the quarter. The approval of article 13 in the former City Planning Law enforced Land Readjustment Project that provided infrastructure to the quarter, hence caused an increase in land price. For the financial benefit from the development, previously stayed landlords sold their lands to any newcomers. So that, Korean people living in Japan could take an opportunity for obtaining landownership with ease. The process of acquisition of landownership by the Korean people from related authorities such as the Ministry of Finance and Kyoto City via public organization has very distinctive features.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".