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Record W2549480958 · doi:10.3989/aespa.089.016.002

Bodegas, lagares y almazaras en el territorio de Kelin (siglos V-III a. C.): el caso de la Rambla de la Alcantarilla (Requena, Valencia)

2016· article· es· W2549480958 on OpenAlexaff
David Quixal Santos, Guillem Pérez Jordà, Andrea Moreno Martín, Consuelo Mata Parreño, Yolanda Carrión Marco

Bibliographic record

VenueArchivo Español de Arqueología · 2016
Typearticle
Languagees
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsCanarie
Fundersnot available
KeywordsHumanitiesArtGeography

Abstract

fetched live from OpenAlex

Las evidencias arqueológicas datan la expansión del cultivo de la vid en el territorio de Kelin durante los siglos V-III a. C., aunque los primeros indicios se fechan ya en el siglo VII a. C. Una de las singularidades de este territorio es la existencia de estructuras de piedra al aire libre para la producción de vino y aceite. Todas ellas se localizan en una zona concreta del territorio (Ramblas de la Alcantarilla y de los Morenos) (Requena, Valencia) y aparecen asociadas a materiales arqueológicos que permiten datarlas como ibéricas. En este artículo abordamos cómo se organiza el poblamiento en la rambla de la Alcantarilla y presentamos en detalle los yacimientos de la Rambla de la Alcantarilla y Solana de Cantos 2.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.132

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 studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.268
Teacher spread0.258 · 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

Citations8
Published2016
Admission routes1
Has abstractyes

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