Monitoring the transformation of architectural and urban planning and panoramic visual acceptability of the historical part of Irkutsk
Bibliographic record
Abstract
The present work discusses dynamics in the architectural and urban planning of the urban environ-ment for identifying and preserving the most significant visually acceptable architectural ensembles and panoramic views of Irkutsk. Visual landscape and cartographic analysis by specific indicators were used as the main research methods. The article reflects the predevelopment analysis devoted to col-lecting initial information for the student's project entitled "Reconstruction of the quarter in the histori-cal part of the city". The work was performed by fourth-year students studying "Urban planning" in two stages at different urban planning levels. Stage 1 included the analysis of visually acceptable views and panoramas of the urban environment at the city level. In stage 2, the existing development at the quarter level was carried out. A retrospective analysis of the urban environment is represented in the form of graphic models reflecting the current state of visual acceptance and the lost fragments of ar-chitectural ensembles in the centre of Irkutsk. The conducted visual landscape analysis of historical and contemporary panoramas of the city revealed dissonances and conflicts in the visual acceptance of the main urban ensembles. The results of the rhythmometric analysis obtained for the development front in the quarter are represented as a model limiting the building height within the quarter. Such a model was developed to eliminate conflicts during reconstruction and establish urban patterns, includ-ing valuable urban planning heritage. The obtained results are relevant for studying the urban devel-opment of territories with historical and cultural potential and can be used in urban planning regulation of historical cities and areas with historical development.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".