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
Currently, Gentrification is becoming a global issue as well as Korea. Recently, in Germany, immigrants and refugees are living in the downtown area of the city, where the phenomenon of gentrification is taking place and authorities are trying to make laws. One of the biggest problems caused by the phenomenon of gentrification is that residents or tenants who live in backward regions are moved out of the society because of land price rise or rent surge. The purpose of this study is to investigate the cases of domestic and foreign cities from the point of view of arts and to examine the relationship between public art and gentrification by examining the characteristics and current status of cities with gentrification. The cities surveyed are Soho, Melbourne, Seoul(Hong-Dae), Toronto(Islinton), and Beijing(798 Art District). Gentrification was analyzed as occurring either naturally by artists or in two forms led by local communities and governments. As a result of the study, it was found that the public art in most cities affects the gentrification. In the future, it will be necessary to conduct macroscopic and extensive research to overlay the data on various cities’ cases.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.017 |
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