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Record W3150223955

Marketing Boards as Hybrid Governance: A study of the Canadian hog industry

2012· article· en· W3150223955 on OpenAlexaffabout
Annie Royer, Claude Ménard, Daniel‐Mercier Gouin

Bibliographic record

Venue2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBusinessTransaction costCorporate governanceLegitimacyMarketingIndustrial organizationQuality (philosophy)Control (management)Database transactionFace (sociological concept)EmbeddednessResilience (materials science)EconomicsPolitical scienceManagementLaw
DOInot available

Abstract

fetched live from OpenAlex

Because of their perishable nature and the impact of their quality on consumers, agricultural products have always raised important problems of coordination and control with high transaction costs. The recent period in the agrifood industry has registered substantial evolution in devices intended to provide vertical coordination among the various agents of value chains. The most noticeable evolution might be the progressive dismantlement of collective organizations in favor of a contractual approach that would be more compatible with market-oriented policies. In this paper, we revisit the role of marketing boards, mainly through the Canadian experience, more specifically in the Province of Québec. Examining their nature and their role, we intend to better understand the type of problems marketing boards were trying to face and still do, and to assess their success and failures in organizing complex transactions with strong asymmetries among partners who need to coordinate while keeping decision rights distinct. We shall argue that their occurrence in very different contexts as well as their resilience is rooted in a relatively successful combination of organizational properties, embedded in their hybrid nature, and institutional legitimacy, thanks to the guarantees they provide.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.027
GPT teacher head0.247
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2012
Admission routes2
Has abstractyes

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