Bibliographic record
Abstract
Properly solving the relationship between conservation and devel-opment is one of the important requirements in the development of historic urban. The author approaches the issue through case studies of the old Quarter, a special historical sites of Hanoi capi-tal. The process of urbanization and urban development has af-fected and made Hanoi Old Quarter (HOQ) many changes. How to maintain HOQ has been studied by many scientists. Some of the results of those studies have been applied in practice. Howev-er, the results are still moderate. This study focuses on compre-hensive review of the features of HOQ and its transformation in both tangible and intangible aspects. The author used the field survey method and secondary data for research. The results of the study have shown the characteristics of HOQ along with its changes in the aspects of economy, culture, society, science-technology and architecture-planning. The current status of HOQ is: Population density is too high; altered traditional functions; space, architecture and landscape are deformed and its characteristic elements are gradually lost; polluted environment, technical infrastructure are overloaded. The article al-so discusses the direction to maintain and develop HOQ as a his-torical sites without hindering the development of smart and sus-tainable urban development..
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".