MétaCan
Menu
Back to cohort
Record W4415586384 · doi:10.21083/crrf.v29i1.7630

Growth Trajectory and Support Needs of the Food Artisan Economy: Insights from Rural BC

2025· article· W4415586384 on OpenAlexaff
Nicole Vaugeois, John Predyk

Bibliographic record

VenueProceedings of the Canadian Rural Revitalization Foundation · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsDiversification (marketing strategy)Distribution (mathematics)Food distributionClothingCapital (architecture)Visitor patternFood systemsConsumer demand

Abstract

fetched live from OpenAlex

Food artisans play a critical role in rural diversification by turning local resources into consumable products using traditional practices. This paper describes a study of BC’s food artisan sector including: a definition and description of food artisans, growth in consumer demand and business, distribution mechanisms and markets, contributions to employment, future business plans and challenges to growth. The study found that consumer demand for products has been increasing whereby 80% of artisans indicated increased demand for their products over the past 3 years, Demand was generated from both resident markets (70%) and visitor markets (30%). Similarly, 85% of artisans indicated business growth over the past 3 years and 86% indicated that their future plans were continued growth. Businesses generated 100% of employment income for 48% of the artisans, with another 40% earning at least 50% of their income from their business. Employment generated by the artisan businesses was more likely to be full time and permanent, with little fluctuation in the averages by season. Artisans used a diverse distribution strategy with the top mechanisms being in local shops, farm markets, local grocery stores and restaurants. The top challenges impacting business growth were difficulties in distributing products, marketing, and accessing capital for expansion. The study provides those involved in economic development, food tourism, and business development new insights on the relative importance of the food artisan sector and its role in place making.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.010
GPT teacher head0.205
Teacher spread0.195 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Canadian Rural Revitalization FoundationSame topicAgriculture and Rural Development ResearchFrench-language works237,207