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Record W1541513809 · doi:10.1108/00070700010362040

Genetically modified food issues

2000· article· en· W1541513809 on OpenAlexaff
Shane Morris, Catherine C. Adley

Bibliographic record

VenueBritish Food Journal · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIrishGenetically modified foodPublic opinionPolitical scienceFood processingGenetically modified organismPublic relationsBiotechnologyLawBiologyPolitics

Abstract

fetched live from OpenAlex

Genetically modified (GM) food is currently being intensely debated in Ireland and throughout Europe. Academic scientists are important players in both the public discourse and in the public policy formulation process. This paper reveals and explores the perceptions and attitudes of Irish university based academic scientists to issues regarding GM food. Most notably, 79.1 per cent of respondents stated that there should be no immediate complete ban of all GM foods and their production. The majority of respondents (70.1 per cent) believed it unlikely that within the next 20 years a substantial reduction in world hunger would occur, due to developments within modern biotechnology. Important opinions and standpoints of Irish academic scientists, which the public, industry and policy makers often look to for informed opinion on matters of a scientific content, are discussed. Results also show that the Irish Science community representatives’ pro‐GM food stance at the National Public Consultation process was justified as it reflected the majority view among respondents.

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0130.001

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 head0.028
GPT teacher head0.232
Teacher spread0.204 · 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 designNot applicable
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

Citations14
Published2000
Admission routes1
Has abstractyes

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