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Record W2771089110 · doi:10.14198/lvcentvm2017.36.07

El fenómeno funerario en la Edad del Hierro del Cantábrico. Un nuevo espacio ritual en la necrópolis de Monte Bernorio (Campañas de excavación de 2007 y 2008)

2017· article· es· W2771089110 on OpenAlexaff
Jesús Francisco Torres Martínez, Ángel Fuentes Domínguez, Santiago David Domínguez Solera, Ana Rodríguez Trigo, Christian Hamann, Ricardo Fernandes, Antxoka Martínez Velasco, Alis Serna Gancedo, Juan Manuel Sobremazas Martínez

Bibliographic record

VenueLucentum · 2017
Typearticle
Languagees
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsArthur B. McDonald-Canadian Astroparticle Physics Research Institute
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

La necrópolis del oppidum de Monte Bernorio fue uno de los primeros cementerios de la Edad del Hierro excavados en España. No obstante, la atención a los excepcionales materiales metálicos descubiertos en ella, unido a la escasez de restos relacionados con los rituales, ha impedido conocer hasta este momento qué tipo de ceremonias funerarias se desarrollaron en ella. En este trabajo se presentan los diversos estudios y análisis realizados sobre las evidencias recuperadas en las excavaciones de las campañas de 2007 y 2008, así como los resultados obtenidos y las interpretaciones que de estos hemos realizado. El resultado es la identificación de un tipo de ritual que invisibiliza los restos y que implica un uso diferente de los espacios funerarios.

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)0.002
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 score0.128
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.007
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.017
GPT teacher head0.250
Teacher spread0.233 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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