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Record W7077047456 · doi:10.5376/tgg.2024.15.0027

Brewing Culture of Malting Barley: Evolution from Ancient Domestication to Modern Agriculture

2024· article· en· W7077047456 on OpenAlexvenueno aff

Bibliographic record

VenueTriticeae Genomics and Genetics · 2024
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptabilityDomesticationBrewingAgricultureHordeum vulgareClimate changeGlobalization

Abstract

fetched live from OpenAlex

Malting Barley ( Hordeum vulgare ) is one of the most important cereal crops worldwide, serving as the foundational raw material for beer brewing and possessing a long history and broad cultural influence. With the progress of globalization and the impact of climate change, studying the evolutionary trajectory and cultural diffusion of Malting Barley holds great significance. This study traces the history of Malting Barley from its domestication in the Fertile Crescent to its global cultivation, focusing on how its botanical traits have influenced its adaptability and global spread. By examining the role of Malting Barley in brewing culture, the study reveals its importance in global agriculture and explores its adaptability to climate change and future development strategies. The findings indicate that the drought tolerance and highly adaptable botanical characteristics of Malting Barley have supported its global dissemination. Its central role in brewing culture has facilitated the selection and adaptation of different varieties in various regions. In the face of climate change, modern breeding techniques and sustainable agricultural practices provide effective means to enhance the yield and resilience of Malting Barley. This study contributes to understanding the dual role of Malting Barley in agriculture and culture, particularly its profound impact on global brewing culture. Further analysis of the botanical traits and breeding techniques of Malting Barley offers valuable insights into improving its climate adaptability and promoting sustainable cultivation in modern agriculture. 

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.402

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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2024
Admission routes1
Has abstractyes

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