Parameters for Public Space Architecture. Informal Commerce Dynamics, as an Opportunity to Stimulate Urban Scenarios. Case Study Cali-Colombia
Bibliographic record
Abstract
In the last decades, the occupation of the pedestrian routes and in general of the public space in the city center of Cali Colombia, have been evidencing diverse phenomena, which to a great extent respond to the accelerated growth of the urban population, where the migrations that have occurred in the interior of the country (fruit of the social conflicts of the last decades), have particularly marked the realities. In Cali, on 10th and 15th streets, near the Government Building, the Palace of Justice and the Municipal Administrative Center - CAM, the public space in general terms has been stressed in a particular way, which has generated conflicts in the surfaces designed for the pedestrians, since they are occupied by vendors in the midst of the informality routines, forcing the pedestrian to use the automobile tracks being a notorious and interesting phenomenon, when observing the factors that produce it and using them as parameters in the design of architectural spaces that contribute to improvement.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".