"Latin quarter" in an east-central european metropolis?: model-based thematic regeneration of the Southern Downtown of Budapest
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With the EU subsidies ex-socialist East-Central European countries got a unique possibility for the regeneration of their run-down historic city centres, but the efficient investment of funds often meet difficulties due to their modest experiences in urban regeneration. The adaptation of western models seems to be a proper way to follow, as by taking the example of the Parisian Latin Quarter for the thematic regeneration of the Southern Downtown of Budapest, but cultural differences make the applicability of these models questionable. A case study of the Budapest site analyses how the Latin Quarter model has been applied, covering the bases, the concept, the implementation and the results of the process. Results show that the regeneration process based on public space renewal was able to transform the area into a youthful, bohemian Latin Quarter that attracts both locals and tourists. Adapting prudentially chosen models in similar cases can overcome cultural differences.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it