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Record W2488099286 · doi:10.18461/ijfsd.v7i3.736

Policy-change Triggered Environmental Uncertainty in a Dairy Cooperative: The Case of Mila in South Tyrol

2016· article· en· W2488099286 on OpenAlexaff
Sylvain Charlebois

Bibliographic record

VenueInternational journal on food system dynamics · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAgribusinessEnvironmental policyDairy industryEnvironmental resource managementGeographyEnvironmental planningBusinessEnvironmental protectionEconomicsAgricultureArchaeology

Abstract

fetched live from OpenAlex

On April 1st 2015, the European Union lifted its quotas for dairy production, a system that has been in place since 1984. Prior to this, the region of South Tyrol in Northern Italy enjoyed protection from the constraints and penalties of overproduction. With the lifting of quotas in Europe, „Bergmilch Südtirol“, a dairy cooperative based in Bozen, Italy, faces significant challenges. The aim of this exploratory single case study is to gain a better understanding of how a dairy cooperative copes with uncertainty in the context of a new economic environment. The data collected included semi-structured interviews, observations, and a review of internal documents of the cooperatives. Results support claims of the cooperative’s resilience, despite new economic pressures. Recent Russian embargoes have also added to the challenges „Bergmilch Südtirol“ faces. Despite good governance practices and sound financial performance in recent years, „Bergmilch Südtirol“ may need to readjust its strategy, beginning with how the cooperative compensates its farmer-members for their milk

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.427

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 head0.022
GPT teacher head0.240
Teacher spread0.218 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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