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Consumer Demand for Pesticide Free Food Products in Canada: A Probit Analysis

2005· article· en· W2013644903 on OpenAlexafffundvenueabout
Erik Magnusson, John Cranfield

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of GuelphUniversity of Manitoba
FundersManitoba Rural Adaptation Council
KeywordsProduct (mathematics)BusinessProbit modelProduction (economics)CroppingAgricultural economicsFood processingProbitAgricultureAgricultural sciencePesticideFood systemsConsumer demandFood productsMarketingEconomicsFood securityFood scienceEnvironmental scienceGeographyAgronomyMicroeconomicsMathematics

Abstract

fetched live from OpenAlex

Pesticide Free Production™ (PFP™) is a new crop production strategy that has emerged in the Canadian prairies. Emphasis is placed on substituting human capital for chemical inputs in field crop production. Consumer response to the introduction of food products containing PFP™ inputs is unknown. A consumer survey was developed and implemented to assess what food products consumers would purchase if available in a PFP™ form and what factors affect demand for PFP™ food products. Results from a probit model suggest strong consumer interest in food products containing grains and oilseeds produced in a PFP™ cropping system. Respondents concerned with pesticides in the environment and/or food products, who would switch grocery stores to purchase a PFP™ food product, who were less than 36 years of age, had higher average household income and who would pay a premium for a PFP™ food product were more likely to choose food products with PFP™ ingredients.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.053
GPT teacher head0.153
Teacher spread0.100 · 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 designObservational
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

Citations73
Published2005
Admission routes4
Has abstractyes

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