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Record W2778635642

Current Cereal Growing Situation In Five Northern Regions And The Potential For Using Local Cereals In Food And Drink Products

2016· article· en· W2778635642 on OpenAlex
Peter Martin, Ólafur Reykdal, Hilde Halland

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBIBSYS Brage (BIBSYS (Norway)) · 2016
Typearticle
Languageen
FieldNursing
TopicNutrition, Health and Food Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsFood scienceGeographyBiology
DOInot available

Abstract

fetched live from OpenAlex

The status of cereal cultivation in Iceland, northern Norway, Faroe Islands, Orkney and Newfoundland has been studied in a project supported by the Northern Periphery and Arctic Programme (NPA). In Orkney, Iceland and northern Norway cereal cultivation is well established while the Faroe Islands are re-establishing, and Newfoundland is starting, cultivation. The project transfers knowledge between the regions and aims to increase the value of cereal products, indicate new innovative products and increase cultivation of cereals. In this report, the cereal value chain is described to inspire companies and initiators to identify new opportunities and create new jobs. Total cereal grain production in the five regions was about 38,000 tons in 2014 while imports were about 146,000 tons, just for Iceland, Orkney and Newfoundland. The population of the region is about 1.4 million and the annual number of visitors is above 2 million. Considerable amounts of cereal-based products are consumed in the regions. These include many different foods (bakery products, breakfast cereals, snacks, flour, porridges etc.) and beverages (e.g. beer and whisky) and offer many opportunities for using local cereals. Recent trends in the cereal food market are very conducive to the development of new products and greater local production within the project regions. Interest in local food and drinks is increasing and food producers need to respond to increasing demand from visitors. In all of the regions, barley is the most important cereal grown. Barley contains several health-enhancing nutritional components including β-glucan and antioxidants and, with growing awareness of the need for healthy eating, there is increased interest in it as a raw material for the food industry. Barley is also used for the production of malt which is a key ingredient for the production of beer and whisky. The number of microbreweries has grown and they are now found in remote regions. For breweries to distinguish themselves from competitors, product differentiation is becoming increasingly important and an attractive way of doing this is to use local ingredients (barley, malt and herbs). However, in order to utilise local barley for beverage production, it will usually be necessary to develop a local capacity for malting.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.287
Teacher spread0.257 · 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