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
1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to the Macroscopic Analyses of Domestic House Market evaluate the Real Estate Economic and Domestic Howse Market in Korea. (2) RESEARCH METHOD Through the former research reviews, the direction and the flow of study were set up and selected the list of theory for reviewing. This study was focused on house prices and Governmental house policies analysis. This study used to the Macroscopic Analyses (3) RESEARCH FINDINGS In the results of this rearch, the most important problem of the house price is not analysed in detail. 2. RESULTS There are a lot of doubts on how much governmental house policies are effective, because the government intervenes in markets everytime house price is instable Most researchers judge effects on the price, dividing policies in go those before as well as after enforcement, guess police effects, constructing modes on the target at measured indexes, and put into practical use the materials such as GDP, classifying them with quarter years. But, the house price is not analysed in detail. This thesis aims at finding suggestion and offering proper direction headed for in the future under the mentioned subjects.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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