Collective Economic Conceptualization of Cider and Wine Routes by Stakeholders
Bibliographic record
Abstract
Abstract The coherence and systemic strength of the collaborative process among thematic route stakeholders are key factors to economic success for individual businesses and regional economic development. The objective of this article is to identify the economic action set to rejuvenate the Cider Route and the Wine Route of the Montérégie region (Quebec, Canada). Group concept mapping is used to estimate the conceptualization and perceptions of stakeholders (cideries, wineries, tourism professionals, visitors) regarding the articulation of the action set. The contribution is threefold. Methodologically, the approach taken supports both the estimation of the concept map and associated perception measures. Empirically, eight action clusters are identified to articulate stakeholders’ “organizational” and “selling” dimensions of the routes. Practically, action priorities identified and feasibility constraints are helpful to target the capability development support needed by route stakeholders to collaborate. (JEL Classifications: D02, L23, L26, L66, Q18)
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".