Institutional design matters: institutional causes of the Brazilian wine industry’s poor performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Triple Helix theory prescribes coordinated actions among government, research institutions and industry to achieve growth. However, the Brazilian wine industry case shows that simply having the institutions is not enough – the institutional framework matters. This paper shows three problems in the Brazilian institutional design that hamper wine quality improvements and impede the development of an effective, fully-fledged Triple Helix model in the Brazilian wine industry. They are: overlapping jurisdictions between the federal and state governments; dissociation between the policy-making locus and the industry; and over-institutionalization. The latter cause is not well developed in the Triple Helix literature as yet. These three factors create coordination problems that appear to be almost insoluble in the present state, and underscore the need for designing institutions carefully before this impasse is reached.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it