The production of a<i>mise en scène</i>for a nation and its subjects: Clemens Holzmeister<i>et al.</i>in the Ministries Quarter for Ankara, Turkey
Bibliographic record
Abstract
The Ministries Quarter, the MQ, in Ankara, the capital of Turkey, is a very interesting case for modern planning and architecture, conceptualised and developed in the first quarter of the twentieth century. As with other governmental centres and administrative hubs, it was attributed the mission of representing the political power of the newly born nation, facilitating physical, symbolic, cultural and historic channels of producing meaning. However, the successive intervention and involvement of architects, planners, landscape designers, governmental officials and statesmen in the shaping of this unique physical setting has ended with an urban environment wherein the ordinary citizen can nowadays just about grasp some piecemeal and minor messages from the total intentions, and experience habitually only the remnants of the original architecture and distorted elements. Focusing mainly on the first twenty five years of the design and shaping of the MQ, this article concentrates on the generic planning principles implemented in the design of the setting and on how these were undermined by new constraints introduced by globally well-known architects and urban designer, due to the lack of an authoritative principal document defining the original layout, that recorded and helped to preserve its unique spatial qualities at the outset.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".