Institutional stickiness and coordination issues in an idiosyncratic environment: the grape and wine industry in Ontario, Canada
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
This article explores the foundations of an industry whose rate of growth is surprising to most observers. Starting from an historical institutional (HI) perspective, we demonstrate that moderately adaptive institutions have been instrumental to the success of the Ontario wine industry up to this point. An analysis of coordination using a Triple Helix framework reveals, however, that the particularities of the institutional design have more recently served to reinforce a suboptimal policy trajectory that has consequently frustrated attempts to forge a coherent industrial strategy. Exploration of the role played by institutional venues as fora that encourage cross-coalition learning provides for a deeper understanding of an idiosyncratic sector and raises important theoretical issues concerning path dependency and the role of the state that can be overlooked easily in superficial applications of Triple Helix theory. The findings of this study suggest important lessons for sub-national innovation systems and innovation networks in high value-added, small market and low export industries.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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