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Record W3132859739 · doi:10.4000/regulation.18273

The variety and limits of dairy policies in a context of global market deregulation

2020· article· en· W3132859739 on OpenAlexaffabout
Daniel‐Mercier Gouin, Aurelie Trouvé

Bibliographic record

VenueRevue de la régulation · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDeregulationVariety (cybernetics)Context (archaeology)BusinessIndustrial organizationMarket economyEconomicsComputer scienceGeography

Abstract

fetched live from OpenAlex

Since the 1980s, agricultural markets have been gradually deregulated. The milk sectors of the main dairy-exporting countries have not been shielded from these changes, which has led to a deeper global integration of dairy markets. However, a historical comparison of policies in the United States, New Zealand, the European Union, and Canada, from both a rural economy and regulationist perspective, reveals that a variety of institutional frameworks exist. For instance, Canada’s dairy sector continues to be highly regulated by public authorities, unlike in the case of New Zealand. Both countries, though, along with the United States, guarantee farmers a minimum share of the added value from processing, contrary to what is practiced in France. Market deregulation in the European Union has also brought about different national forms of competition. Based on the dairy sector, this analysis supports the idea of a great diversity of national forms of state and regulation, adapting to the global capitalist and neo-liberal regime. However, the latter generates major contradictions, disputing the sustainability of each of these forms of national regulation.

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 score0.285
Threshold uncertainty score0.101

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.016
GPT teacher head0.224
Teacher spread0.208 · 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

Citations3
Published2020
Admission routes2
Has abstractyes

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