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Record W3164441726 · doi:10.1186/s43170-021-00036-9

Canadian perspectives on food security and plant breeding

2021· article· en· W3164441726 on OpenAlexafffundabout
Claire Williams, Savannah Gleim, Stuart J. Smyth

Bibliographic record

VenueCABI Agriculture and Bioscience · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsUniversity of Saskatchewan
FundersCanada First Research Excellence Fund
KeywordsCommercializationFood securityPlant breedingBiotechnologyEmerging technologiesBusinessMarketingAgricultureBiologyComputer scienceEcology

Abstract

fetched live from OpenAlex

Abstract Background The broadness of biotechnology serves to connect different types of modern plant breeding techniques with the potential to improve global food security. However, the topic goes beyond the specific example consumers’ associate with the term—genetic modification. As a result, it is often unclear if consumers really know what they claim to understand and the efforts to clarify the science and reasoning behind the use of these practices is often obscured. Methods Two online surveys of 500 Canadians were conducted in 2017. Results Three-quarters of Canadians have high levels of trust in those who provide information about food, yet two-thirds believe that modern plant breeding technologies are unnatural. Conclusions Canadians lack basic knowledge about modern plant breeding practices and technologies and possess high levels of uncertainty regarding the potential for benefits or externalities to develop from the commercialization of new genome editing plant breeding technologies.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.099
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0150.007
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0220.000

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 head0.017
GPT teacher head0.202
Teacher spread0.185 · 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 designTheoretical or conceptual
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

Citations11
Published2021
Admission routes3
Has abstractyes

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