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Record W2064146979 · doi:10.15353/cfs-rcea.v1i1.38

Growing Resistance by Emily Eaton

2014· article· en· W2064146979 on OpenAlexvenueaboutno aff
Taarini Chopra

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)Political scienceResistance (ecology)Economic historyEnvironmental ethicsAgricultural economicsEconomicsLawAgronomyPoliticsBiology

Abstract

fetched live from OpenAlex

The short history of genetically modified (GM) crops in Canada has been defined by controversy, debates about health and environmental concerns, and deeply entrenched corporate control. The past fifteen years have seen numerous approvals of new GM crop varieties, while just a handful have been stopped from reaching the market. One of these unusual cases is the subject of Emily Eaton's new book Growing Resistance. In this compelling volume, Eaton questions why the introduction of GM wheat was met with such strong opposition from Canadian farmers, while GM canola had been widely adopted just a decade earlier. Her analysis goes beyond a cost-benefit assessment of the two crops to include their biological differences, and dig into the rich historical and cultural role that wheat has played for Prairie farmers. Taken together, Eaton argues, these factors explain the fervent public opposition to the introduction of GM wheat in the Prairies, and Monsanto's consequent decision to withdraw its request for government approval of herbicide tolerant wheat and discontinue its research and breeding program.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.893
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.035
GPT teacher head0.228
Teacher spread0.193 · 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
Published2014
Admission routes2
Has abstractyes

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