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Record W7052213652

Reconstructing the Diet of Rancho del Rio�s Inhabitants by Paleoecological and Archaeological Approaches,

2006· article· en· W7052213652 on OpenAlexfundno aff

Bibliographic record

VenueHispana · 2006
Typearticle
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsnot available
FundersArts and Humanities Research BoardCentre National de la Recherche ScientifiqueEusko JaurlaritzaEuropean CommissionSocial Sciences and Humanities Research Council of CanadaUniversity College LondonUniversité de BordeauxBarakat TrustUniversity of SouthamptonAlexander S. Onassis Public Benefit FoundationNational Science FoundationHistorical Metallurgy SocietyComunidad de MadridColorado State University
KeywordsAssemblage (archaeology)PopulationPrehistoryArchaeological science
DOInot available

Abstract

fetched live from OpenAlex

measurements in situ above uncovered glass-furnace helped in first stage of excavation to identification of orientation of central heating channel where apparent magnetic susceptibility was higher than in perimeter rim of furnace.Archaeological excavations up to now (C # erná 2003b) uncovered 2 different glass-furnaces, 1 glass waste heap and other non-production situations, third glass-furnace should be excavated in summer 2004.Magnetometric survey of newly discovered high medieval glassworking site Gabrielina Hut', distr.Chomutov (from 14th century AD) is example of prospection of endangered site by new afforesting in Ore Mountains region (K?ivánek 2003).Measurements by protone magnetometers and kappameter were realized after the first finds of typical glass-working material.Only low magnetic unhomogenous anomalies (+5-15 nT/m) probably from recently redistributed glass-working material were discovered in area of new afforesting and recent terrain changes with glass-working finds (C # erná 2003a).Two subrectangular high magnetic anomalies (about +100 nT/m) from glass-furnaces together with other low magnetic anomalies (+5 nT/m) from scattered production waste material were than identified not far in forested and more hilly terrain.The results of geophysical survey shows the centre of site within identified 2 high magnetic anomalies above glassfurnaces seems to be still in forested area outside of recent wood exploitation and new afforesting of disturbed terrain.From detailed magnetometric measurements we can say these furnaces should be still in subsurface in good state of preservation.Archaeological excavation of site will be applied in dependence on another new afforesting of central place of site with geophysicaly verified glass-furnaces. CONCLUSIONResults of geophysical surveys of common small features with typical high magnetic burned materials of production sites have many similarities but also some specifics.Because magnetometric data from particular measurements share very often similar results we can summarize these results within types, amplitudes or the average surface extent of magnetic anomalies.3 main types of archaeo-features (furnaces, waste heaps, another sunken features) within 3 different types of magnetic anomalies are very typical for all of production areas (Kr# ivánek 1995).The furnaces have very significant positive magnetic anomaly, very limited area and typical negative border around.Prehistoric iron-furnaces have diameter 1-2 m, High Medieval glass-furnaces diameter 2-5 m.Amplitudes of magnetic anomalies over iron and glass furnaces are very different, common magnetic anomaly of glass-furnaces is much higher than magnetic anomaly of iron-furnaces.This fact we could probably connect not only with different dimensions, length and level of heating of raw material but also with specific length of use of production features.The main ironproduction features have very often specific location in terrain, glass-working

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)0.001
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 score0.071
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.014
GPT teacher head0.172
Teacher spread0.158 · 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".

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Citations0
Published2006
Admission routes1
Has abstractno

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