Estudio y puesta en valor del tramo de muralla islámica de la Plaza del Ángel de Valencia
Bibliographic record
Abstract
[EN] The present work is to enhance the stretch of Islamic wall preserved in the ancient Ángel inn, in the quarter of Carmen in Valencia. For it a tour is done, first of all, by the political situation in the years of muslim occupation to understand its historical essence and the role redeemed by the enclosure walled in a convulsed epoch, especially, for the Christian advances in the reconquest of the peninsula and for the arrival of the Almoravids and Almohads, dynasties of African origin. Also, contains information provided by Muslim and Christian sources on the fortification, as well as its evolution from the 11th century until its modification and enlargement in the next century. The case study approaches a historical, archaeological and constructive approximation, in addition to collecting the results obtained of the analyzed sample. Concretely, a granulometric study is realized to establish the percentage of binder and arid in the lime concrete masonry and the binder is analyzed by MEB/EDX to know its composition and its intrinsic characteristics. Then it develops a diagnosis of conservation status and the factors of deterioration are determined in order to elaborate a proposal of intervention that slows down, as far as possible, the causes of deterioration. With this proposal of character multidisciplinary and based on the maximum respect toward the monument and in the minimal intervention, is intended to protect and to spread the most important vestige of the military Islamic architecture of the city.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".