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Record W2261524029 · doi:10.1017/s1047759415002391

Cultural contacts and identity construction: a colonial context in NE Spain (2nd - early 1st c. B.C.)

2015· article· en· W2261524029 on OpenAlexaff
Alejandro G. Sinner

Bibliographic record

VenueJournal of Roman Archaeology · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsYork University
Fundersnot available
KeywordsIndigenousColonialismPeninsulaContext (archaeology)PotteryArchaeologyIdentity (music)ArchitectureHistoryGeographyEthnologyArchaeological recordEpigraphyCultural identityAnthropologyAncient historyGenealogyArtSociologyAestheticsSocial science

Abstract

fetched live from OpenAlex

This paper focuses on a century of interaction between a colonial agent (Rome) and an indigenous people (known in classical texts as the Laietani) who inhabited the area before the arrival of the conquerors. It investigates how contact between the two societies may be detected in the archaeological record, and, where possible, what changes in local culture resulted. The first part, which presents the archaeological sites of the Cabrera de Mar valley and its material culture, documents the contacts over time between those that occupied the valley and those who arrived from the Italian peninsula. A number of indices of such contacts are considered: architecture, construction techniques, imported pottery, epigraphy, and the monetary system. The second part considers whether it is possible to detect in the valley not only cultural contact but also cultural change.

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 score0.118
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.261
Teacher spread0.210 · 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

Citations62
Published2015
Admission routes1
Has abstractyes

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