Policy-change Triggered Environmental Uncertainty in a Dairy Cooperative: The Case of Mila in South Tyrol
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".