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Record W7028205071

ESTUDIO TÉCNICO Y PROPUESTA DE INTERVENCIÓN DEL MONUMENTO AL LABRADOR VALENCIANO , GRAN VÍA MARQUÉS DEL TÚRIA (VALENCIA)

2023· dissertation· es· W7028205071 on OpenAlexaboutno aff

Bibliographic record

VenueRiuNet (Politechnical University of Valencia) · 2023
Typedissertation
Languagees
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Period (music)Northern italy
DOInot available

Abstract

fetched live from OpenAlex

[ES] Monumento al Labrador Valenciano, obra realizada por el distinguido escultor valenciano Carmelo Vincent. En el monumento se emplearon dos tipos de materiales pétreos, por un lado, piedra de Borriol para la estructura del receptáculo o vaso, y, por otro lado, mármol blanco en la parte escultórica; siendo colocada al inicio de la Gran Vía del Marqués del Turia en el año 1931. Esta pieza toma como referente la talla Labrador Valenciano tallada en madera por el mismo autor en 1921 y conservada en el Museo de Bellas Artes de Castelló. La búsqueda y recopilación bibliográfica ha permitido recabar datos del contexto histórico-técnico, valorar su estado de conservación y analizar las causas que han propiciado su deterioro. En términos generales, los materiales que integran la obra exhiben un estado de degradación incipiente. El presente trabajo presenta una detallada propuesta de conservación y restauración con el fin de mantenerla y protegerla de la acción directa medioambiental.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.020
GPT teacher head0.238
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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Same venueRiuNet (Politechnical University of Valencia)Same topicBuilding materials and conservationFrench-language works237,207