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Record W4392805323 · doi:10.14201/zephyrus2024923961

Placas de contextos megalíticos del centro de Portugal. Los casos de Arquinha da Moura (Tondela) y de Mamaltar de Vale de Fachas (Viseu)

2024· article· es· W4392805323 on OpenAlexaff
Raquel Vilaça, Pedro S. de Carvalho, Lídia Catarino, Luís Bravo Pereira

Bibliographic record

VenueZephyrvs · 2024
Typearticle
Languagees
FieldArts and Humanities
TopicArchaeological and Geological Studies
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesMedicineGeographyArt

Abstract

fetched live from OpenAlex

La oportunidad de estudiar dos placas decoradas de piedra halladas en contextos megalíticos de la región de Viseu/Tondela, una decorada y conocida desde 1912, la otra inédita hasta ahora, ha supuesto un valor añadido al conocimiento de esta categoría de artefactos ‘ideotécnicos’. Caracterizadas a nivel morfotipológico, han sido objeto de análisis de fluorescencia de rayos X que apuntan a la posibilidad de la utilización de cinabrio como pigmento decorativo en una de ellas. También se han utilizado en este estudio imágenes fotográficas de diferentes bandas espectrales, tanto en la banda de luz visible como en las bandas de radiación IR y UV, que han permitido corroborar el uso de pigmento rojo en algunas zonas, así como el de otro pigmento colorante negro o azul en otras. Además, se ha observado la relación marginal, aunque no aislada, de los hallazgos de estas placas con el sur peninsular, donde piezas del mismo universo conceptual –los ‘ídolos-placa’– se cuentan por miles. Estas dos placas, junto con algunas otras elaboradas con diferente tipología, materia prima y contexto –inéditas o en proceso de valoración–, recuperadas en el interfluvio Duero-Tajo, demuestran que el vacuum de este tipo de registros en la región es solo aparente.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.040
GPT teacher head0.283
Teacher spread0.243 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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