Opportunities for the reconstruction of the quarter between the streets Nar-Dos, Tigran Mets, Zavaryan and Khorenatsi of the city of Yerevan
Bibliographic record
Abstract
Introduction. In the central quarters of Yerevan, the contemporary development of which formed since 1920s, the problems of organization of courtyard space has been arisen initially. The quarters were built up with old houses and the lack of funds led to the fact that the development was carried out only around the perimeter of the quarters, where new residential buildings were built. As a result, large amount of ramshackle housing stock remained in the center of the quarters. And despite the fact that these plots were intended for the improvement of courtyards, by the end of 1980s the problem was not solved. Since 1992, when socio-economic radical changes took place in the Republic and the state development programs were suspended, the inner quarter space became an object of individual spontaneous construction, which led to chaos in the organization of urban living environment. Such an example is the quarter between the streets Nar-Dos, Tigran Mets, Zavaryan and Khorenatsi — the subject of this research. Identification of the reconstruction opportunities of the quarter between the streets Nar-Dos, Tigran Mets, Zavaryan and Khorenatsi of the city of Yerevan. Materials and methods. The work is carried out on the base of the field observations and published sources by the method of theoretical research, analysis, designing and generalization of the material. Results. The work is composed of the following thematic subdivisions: defining the research boundaries; study and analysis of the present condition of the quarter; project proposal for the reconstruction; socio-economic aspects of the project implementation. The historical process of the forming of the development of city center quarters is generalized, the existing problems are determined. The results of the study and the analysis of the particular quarter development present condition are introduced. The conceptual project proposal for the reconstruction of the quarter, the socio-economic possibilities of its implementation and the expected results are presented. Conclusions. A list of problems are deduced, which are resolving through the proposal. As well data on the effectiveness of the individual indexes during the reconstruction of the quarter is displayed. The results of the work can be introduced in the reconstruction programs of the central quarters of Yerevan city.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".