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Record W7036342350

CANADIAN CONSUMER PERCEPTION OF GENOME-EDITED FOOD PRODUCTS

2020· dissertation· en· W7036342350 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2020
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsNeophobiaPerceptionNovel foodFood productsFood safetySample (material)Food technologyGenetic engineering
DOInot available

Abstract

fetched live from OpenAlex

New Breeding techniques (NBTs) have been developed in the last decade and allow for faster, more precise and less expensive genetic modification of new plant varieties with desired traits. Genome editing technology is potentially more socially acceptable than transgenics due to the possibility to add, delete, or alter specific parts of the DNA sequence without adding foreign genetic material. This thesis examines consumers’ perceptions of food produced using genome editing techniques. To accomplish this, an online survey was administered across Canada, resulting in a sample of 503 participants. Econometric analysis was used to examine the relationship between consumers’ perceptions of food produced using genome editing technology and consumer preferences. Additional analysis was conducted for the other two food technologies (transgenics and organic) and results were compared. Results suggest that surveyed Canadians have better perceptions of genome editing technology and four factors are relevant to predict consumers’ levels of perception: trust in Canada’s food safety system, their food technology neophobia score, knowledge of genetics, and self-rated knowledge of genome editing. Food technology neophobia scores and knowledge both impact willingness to consume genome-edited and transgenics food products but not organic food products.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.164
Teacher spread0.151 · 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.

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
Published2020
Admission routes1
Has abstractyes

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