From megaprojects to tourism gentrification? The case of Santa Cruz Verde 2030 (Canary Islands, Spain)
Bibliographic record
Abstract
The inner-city oil refinery in Santa Cruz de Tenerife, Spain, has been shaping the city’s urbanism as an employer, but also as a polluter and a physical barrier for more than 80 years. The megaproject Santa Cruz Verde 2030 aims at transforming this area into a mixed-use urban quarter. Based on a mixed methods approach, this paper analyses the impacts of the megaproject by means of document, spatial and statistical analyses. The project is estimated to increase the city’s green areas by 39 % and the number of hotel beds by 70 %, provoking a strong touristifaction. Santa Cruz Verde 2030 stands for a new type of megaprojects, offering a variety of uses and sustainability wordings. Nevertheless, the impacts might reconfigure the city’s urbanism as a whole, shifting centralities to its southwest. On a neighbourhood level, spillover effects are expected to have diverging consequences. While in the Los Llanos neighbourhood gentrification and tourism are fostered, in Buenos Aires the megaproject implies the opportunity to integrate this currently segregated quarter into the city. Against this background, the paper outlines the necessity of transparent planning and monitoring processes, in order to ensure the sustainability of this new urban quarter.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".