Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores the pattern of house price movements in Korean metropolitan cities during the period of mid 1980s to 2000s. The pattern is characterized by big discrepancy in increasing rates of house prices across big cities in 1980s, falling house prices at similar rates in 1990s, and heterogeneous changing rates of house prices with some cities experiencing soaring price while other cities experiencing falling price in 2000s. Regression analysis using panel data shows that real GRDP has the strongest impact on house price in respective cities, along with real GDP and real interest rates, Net inflow of population is estimated to have a positive impact whereas dishonored bill ratio has a negative impact. The result also indicates that region specific factors outweigh nation-wide macro factors in determining the regional house prices, and that trend becomes even stronger over time. This offers an explanation on the pattern of house price movements in metropolitan cities. Moreover, our study suggests that we need to introduce a region-specific housing policy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.012 |
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 it