Proposta de millora de la Rambla del Carmel
Bibliographic record
Abstract
Located in the quarter of El Carmel of Barcelona, in the foothills of the northern slope of the Turó de la Rovira, the Rambla del Carmel represents the largest public space in the quarter of El Carmel with an approximate area of 12.000m2. It is currently constituted by a public parking lot, the municipal sports centre of El Carmel and the small green area of the Eduard Batiste and Alentorn garden. The present appearance of the Rambla was inaugurated in 1991 as a result of the perforation of the tunnels of the Turó de la Rovira. This large area was obtained through the eviction of many families and it generated great discontent in the neighbourhood. The unrest and the dissatisfaction of this space on the part of the neighbours still exists nowadays because the alleged benefits of a public space of such proportions are still insufficient at the moment. Especially, the deserted appearance makes it unattractive for the citizens. The lack of shaded areas, open living areas and street furniture creates an underutilized space for the neighbours, who ask for improvements to be made. This proposal seeks to enhance this area through the understanding of the origins of the place and how events have led to the present situation in order to plan more precise actions to be taken. The improvement lies in the green colonization of this space generally made of concrete- paying attention to the limiting factors of the area like the lack of soil, the architecture, the traffic of vehicles and the present uses. It has been necessary to find a solution to introduce vegetation where it is viable and, moreover, to solve the problem of underutilization on the part of the residents. Given the lack of soil, the decision has been to install large metallic jardinières to perform the function of flowerbeds. The disposition of the jardinières all over the Rambla will allow us to contain the substrate and the vegetation. Fiddling with the different applications and possibilities brought about by the trees, shrubs and herbaceous and climbing plants it will be possible to create shaded areas and enhance the local biodiversity. To sum up, the compounded effect will generate social and environmental benefits through a better utilization of the space and a more enjoyable area for the neighbours.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".