Metro Girl: The Alliance of Art and Architecture in the Visual Aesthetics of the Modern Georgian City of the 1960s
Bibliographic record
Abstract
Abstract This article explores the way a new specifically Georgian post-Stalinist art form (cheduroba, metal engraving) that emerged in the 1960s became a commonly encountered emblematic feature of the equally new urban spaces of the rapidly changing modernist Tbilisi cityscape. This new, and yet seemingly old, art form, which frequently featured the face of a traditional Georgian girl, usually a Khevsur girl from the mountains, came to be a diagnostic part of the modern urban assemblage of Tbilisi in the 1960s. This traditional face from the Georgian past became a paradoxical figure for the alliance of art and architecture in the visual aesthetics of the modern Georgian city in the 1960s, and the art form became the stereotypical “face” of a specifically Georgian post-Stalinist “traditional-modernist” public urban art. This art form soon became diagnostic of modern Georgian urban spaces, like the Tbilisi metro, which also opened around the same time in the 1960s. The recurrent distribution of this face across newly-created modernist urban spaces together formed a Georgian version of “socialist modernism,” producing a visually-experienced “brand of socialism” for urban spaces, a procession of images traditional or national (in style or theme) in socialist modernist spaces connecting the traditional architecture of the city to the modernist architectural spaces of the new socialist city of the 1960s.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".