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Record W4410515528 · doi:10.3390/heritage8050182

Triana: Unveiling Urban Identity and Dwelling Architecture in the Modern Era

2025· article· en· W4410515528 on OpenAlexaboutno aff
Pilar Moya-Olmedo, María Núñez-González

Bibliographic record

VenueHeritage · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Architecture Studies
Canadian institutionsnot available
FundersAgencia Estatal de InvestigaciónEuropean Regional Development FundMinisterio de Ciencia, Innovación y Universidades
KeywordsQuarter (Canadian coin)ArchitecturePort (circuit theory)Context (archaeology)PopulationIdentity (music)GeographyHistoryEconomyArchaeologySociologyEngineeringArtAestheticsDemography

Abstract

fetched live from OpenAlex

During the Modern Age, Seville was known as the Port of the Indies due to its key role in transatlantic trade, although the actual port was located in Triana, a riverside quarter outside the city walls along the Guadalquivir River. This area was essential for maritime and commercial activities, shaping Seville’s economic and social development. This study analyses Triana’s urban layout, social composition, and architecture in the 16th century using historical sources and graphic representations. The quarter combined defensive structures, religious buildings, and residential complexes, reflecting both its strategic importance and distinct identity. Its streets and architecture supported defense, commerce, and daily life, while its diverse community (including sailors, merchants, craftsmen, and dockworkers) was central to its mercantile and manufacturing activity. Architecturally, Triana featured traditional dwellings, corrales de vecinos, mesones, and posadas, that facilitated trade and travel. Examining these elements reveals Triana’s adaptability to economic and social conditions, highlighting its resilience, diverse population, and rich architectural heritage within Seville’s historical context and Atlantic trade.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.238
Teacher spread0.216 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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