Residential choice of condominium residents in the central area of local cities: A case study of Mito City, Ibaraki Prefecture, Japan
Bibliographic record
Abstract
Condominium development increased rapidly after the late 1990s in Japan.This vast development which occurred in Japan has led to the dramatic urban land use changes and the residential transformation in quantity and volume.In Japan, this phenomenon was researched from these view points.First of all, population recovery in Inner city, mainly in Tokyo.There is a lot of literature about population recovery and the characteristics of the residents in inner city.And the following household types are confirmed in each housing submarket.Single female households, double income couples with no children (DINKS) were the dominant types of the owner-occupant residents.Low income households were confirmed in public housing sector.Two-generation families were confirmed in rented apartments.After 1980s, large supply of condominiums, affordable apartments and public housings were supplied in inner Tokyo.Increasing housing supplies and the diversified residential needs lead to the population recovery in inner cities.Similar implications were confirmed in large local cities.Along with the population recovery, the local economy and community was revitalized.This was confirmed in small local cities.And these themes are also important.High-rise apartment supply and urban
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".