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Record W2540359907 · doi:10.1051/bioconf/20160703027

Grape and wine culture in Georgia, the South Caucasus

2016· article· en· W2540359907 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBIO Web of Conferences · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeorgianWineWinemakingOenologyViticultureDomesticationGeographyAgency (philosophy)LiminalityArchaeologySociologySocial scienceArtEcologyBiologyVisual arts

Abstract

fetched live from OpenAlex

In 2014, the National Wine Agency of the Republic of Georgia initiated a three-year “Research Project for the study of Georgian Grapes and Wine Culture. Through collaborative research by Georgian and foreign institutions and researchers, the project aims to: stimulate research of Georgian viticulture and viniculture, through the lens of the country with the earliest tradition of grape domestication and winemaking; and to reconstruct the continuous development of viticulture and wine culture through time. The project advances the study of grape and wine culture by utilizing a multidisciplinary approach, including: archaeology, history, ethnography, molecular genetics, biomolecular archaeology, palaeobotany, ampelography, enology, climatology and other scientific fields. These studies are diachronic in their approach, beginning with the oldest Neolithic civilizations, to present day, creating a holistic understanding of the continuity and complexity of Georgian Wine Culture to help popularize Georgian Wine throughout the global wine market.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.661
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.258
Teacher spread0.218 · 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