Bibliographic record
Abstract
Abstract The article highlights the changes in the architectural appearance of Irkutsk during the post-Stalin times. The development of the historical city in the Soviet period proceeded in accordance with the needs of the Soviet system: industrial facilities and mass segment housing were built; residential neighborhoods with a set of social and domestic facilities were created. Sometimes there was a successful weaving of the new forms into the established ones. In some cases, innovations destroyed the historical view of the environment. The contribution of architects and statesmen to the development of the city has been considered. In the conditions of a market economy, multidirectional trends have been indicated. Thus, on the one hand, the integrity and originality of the city centre is spoiled and distorted through the infill development. On the other hand, the demand for creating a comfortable city environment is reflected in interesting forms of the cityscape: new squares, monuments, fountains, and other objects appear. The city symbols are being updated, an attempt to brand Irkutsk has been made. The regeneration of the city environment leads to the introduction of 130 Kvartal quarter, which is a successful attempt to create a new public space. There are also other attempts to make the architectural appearance of the city more modern and its image – memorable.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".