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Record W1788919819 · doi:10.5209/cmpl.30503

Las piedras de la memoria (II): el uso en época romana de espacios y monumentos sagrados prehistóricos del Sur de la Península Ibérica

2007· article· es· W1788919819 on OpenAlexfundno aff
Leonardo García Sanjuán, Pablo Garrido González, Fernando Lozano Gómez

Bibliographic record

VenueComplutensian Scientific Journals (Complutense University of Madrid) · 2007
Typearticle
Languagees
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsnot available
FundersJunta de AndalucíaUniversidad de GranadaAarhus UniversitetInstitute of Aboriginal Peoples HealthJunta de ExtremaduraPrinceton University
KeywordsPrehistoryPeninsulaIdeologyArchaeologyGeographyPoliticsHistoryHumanitiesArt

Abstract

fetched live from OpenAlex

This paper tackles the analysis of a series of cases of reutilisation in Roman times of prehistoric sacred spaces and monuments, recorded throughout the South of the Iberian Peninsula. The cases under study are grouped in three main categories: (i) spatial proximity or overlapping of prehistoric and Roman burial areas, (ii) reutilisation of the inner and outer spaces of prehistoric mortuary chambers, and (iii) re-use of rock art sanctuaries and prehistoric stelae. As a conclusion, we suggest, firstly, the need to reconsider the recording criteria by which the appearance of later materials in old monuments is archaeologically assessed; secondly, we point out the need to look at these cases from the viewpoint of the elements of tradition and memory that some old sacred sites convey for the Iberian-Roman populations. Finally, we suggest these cases must be interpreted in terms of religious and political ideology.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.249
Teacher spread0.226 · 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

Citations15
Published2007
Admission routes1
Has abstractyes

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