The integrated renovation of High-Rise Hotels on the Spanish Mediterranean Coast
Bibliographic record
Abstract
In terms of construction and energy efficiency, Spain has one of the highest indexes of obsolete buildings among the developed countries.In the case of high-rise hotel buildings, this problem is further added to by the low levels of safety in the case of fire.The development of tourism in the 1950s and 60s led to the construction of a large number of high-rise hotels with 30+ floors.Initially, they conformed to lax, undemanding regulations regarding fire resistance in their structural components, fire escape routes, protected staircases, and so on.The requirements of today's regulations in this field, contained in the Basic SI Technical Building Code Document, often make the renovation of these buildings an impossible task.Installing specially protected staircases can entail traumatic modifications that are sometimes unviable due to structural conditions or economic considerations.Furthermore, the building's energy efficiency and CO 2 emissions do not correspond to environmentally-friendly practices.This paper examines the above questions with regard to the Hotel Tryp Gran Sol in Alicante, Spain.The hotel is 97 m high and has 31 floors.The integrated renovation of the hotel requires serious reflection upon the building's global response to personal safety, its envelope components and its air conditioning.Architectural solutions and the building's economic viability for future exploitation as an important element in the building's life cycle assesment (LCA) are discussed.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".