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Record W3209757873

Chemical and mineralogical characterization of ancient Portuguese ceramic tiles of the first quarter of the XVIIIth century

2009· article· en· W3209757873 on OpenAlexaboutno aff
Pedro Flor, Ana P. Carvalho, Fátima Vaz, Susana Varela Flor, Lurdes Esteves, Rosário Salema de Carvalho

Bibliographic record

VenueOpen Repository - Open University (Universidade Aberta) · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)PortugueseCharacterization (materials science)Ancient historyArchaeologyArtHistoryMaterials sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The main objective of the present work is to establish a correlation between the characteristics of the ceramic body of ancient tiles and the workshop where they were made. The work was carried out with tiles from the Museu Nacional do Azulejo collection, but the aim is to study the most important period of the history of tiles in Portugal, the first quarter of the 18th century, the so called Ciclo dos Mestres (Master’s Cycle). In the present work, we make use of SEM-EDS and DRX to determine the major constituents of the ceramic body, as well as to evaluate the procedure used to produce the tiles. Signed and unsigned tiles were used. The analysis of the chemical composition, mineralogical phases, shape and size of particles combined with historical information allowed to conclude that the tiles of the panel Vista de Lisboa (MNAz inv. 1) and Senhora dos Corações have identical global chemical composition but not the same mineralogical characteristics. Two other tiles featuring King Charles II (MNAz inv. 691) and his wife Queen Catherine of Braganza (MNAz inv. 690), present different properties, which indicate another provenience of the clay materials and, probably, another workshop and painter.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.356

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 communication0.0000.001
Open science0.0010.001
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 head0.013
GPT teacher head0.186
Teacher spread0.173 · 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 designBench or experimental
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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueOpen Repository - Open University (Universidade Aberta)Same topicCultural Heritage Materials AnalysisFrench-language works237,207