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
The purpose of this study is to analyze the influence factors on the trade volume of the apartment market in the Seoul metropolitan area. In this study, differences in the influence factors by housing size were also analyzed. The main analysis results using a dynamic panel model are as follows: First, when the trade volume was subdivided according to the size of housing, the lagged values of the dependant variables were proved to have a positive effect on the trade volume, and were mostly statistically significant. Second, the increase rate of housing price in the last quarter was proved to have a negative effect on the current trade volume, while the increase rate of housing price in this quarter had a positive effect. Third, the net migration and industrial production growth rate were found to have a positive effect on the trade volume, while the price ceiling system, DTI regulation, financial crisis dummy variable, and interest rates were revealed to have a negative effect. In particular, the trade volumes of small/medium-sized housing were proved to be highly affected by and sensitive to the housing price increase rates, and the economic conditions.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.018 |
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