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Record W4285198699 · doi:10.7202/1088301ar

Who Gets to Farm? Agricultural Renewal, Quotas, and the Governance of Alternative Food Networks in Quebec

2022· article· en· W4285198699 on OpenAlexaffvenueabout
Patrick Mundler, Simone Ubertino

Bibliographic record

VenueCanadian Journal of Regional Science · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCorporate governanceAgricultureBusinessProduct (mathematics)Production (economics)EconomicsFinance

Abstract

fetched live from OpenAlex

In Canada, chicken, turkey, egg, and milk production is regulated through a supply management system. As a result, any Canadian farmer wishing to raise poultry or produce eggs or milk is legally required to hold a production quota. However, quota prices have risen sharply over time, creating considerable entry barriers for small farmers interested in selling supply-managed specialty products directly to consumers. The impact of the current system on small-scale farming and alternative food networks has led to growing calls for reform. In our study, we examine the debate around quota policies in the province of Quebec from a governance perspective. Our findings indicate that stakeholders disagree on the potential impact that supply management reforms would have on market stability, equity, farmer professionalism, and food safety. Fundamentally, these various points of contention highlight an underlying struggle for power and legitimacy between established stakeholders and beginning farmers, with both sides holding opposing views about the nature of farming, product quality, and sectoral management. The debate also underscores the challenges that supply-managed sectors face in trying to accommodate beginning farmers from diverse social and professional backgrounds.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.813
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

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

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 head0.180
Teacher spread0.170 · 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

Citations2
Published2022
Admission routes3
Has abstractyes

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