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Disappeared medieval watchtowers in Granada (Spain). Workflow and standards for the survey of a vanished architectural heritage

2023· article· en· W6944902057 on OpenAlexaboutno aff

Bibliographic record

VenueDIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsnot available
Fundersnot available
KeywordsKingdomMiddle AgesWorkflowArchitecturePower (physics)Quarter (Canadian coin)Empire

Abstract

fetched live from OpenAlex

Among all the Spanish regions, the province of Granada stands out for the large number of isolated towers of which there are still remains. More than 150 are of medieval origin and preserved to a greater or lesser degree. This is due to the fact that Granada was the core of the Nasrid kingdom, the last surviving Andalusian territory in the southeast of the Iberian Peninsula. It had more than 400 km of land border with the kingdom of Castile through the Penibaetic System and another 400 km of Mediterranean coastline. This kingdom, whose centre of power was the Alhambra in Granada, came to occupy approximately 2,949,373 ha after the Pact of Jaén, the agreement signed in 1246 between Ferdinand III of Castile and the first Nasrid king, Muḥammad I ibn Nasr, which established the border between the two kingdoms. The kingdom of Granada was maintained with few modifications over the next two and a half centuries, until the War of Granada, which caused it to collapse between 1482 and 1491. Many of these towers were reused, remade or built in the Nasrid period, but, after the Christian process of conquest, many of the towers in the interior were rendered unusable or totally or partially destroyed. This work develops the methodology of the workflow that has been followed to detect the location of many other nodes of this dense network based on the analysis of topony-my. The historical accounts show that there were many more watchtowers to survey and protect this kingdom than the ones previously known.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.061
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.061
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.265
GPT teacher head0.362
Teacher spread0.097 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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