Collective Economic Conceptualization of Strategic Actions by Québec Cidermakers: A Mixed Methods–Based Approach
Bibliographic record
Abstract
Abstract The objective of this article is to estimate the spatial structure of the collective economic conceptualization of strategic actions by cidermakers in Québec. It employs group concept mapping, a mixed methods–based approach. Given the limited research on the economic conceptualization of horizontal coordination for guiding collective strategic action orientations, this contribution is threefold: methodological, empirical, and practical. Methodologically, the results show the perspective of horizontally coordinated cidermakers and use statistical estimates and retroduction as an inference mode to produce and structure the concept map. Empirically, the spatial economic conceptualization consists of a concept map with seven strategic action clusters organized around the notions of product supply and demand and highlights tensions between individual and collective strategic actions. Practically, measures of relative importance and relative feasibility are obtained for each cluster on the map, and implications are discussed. (JEL Classifications: D02, L23, L26, L66, Q18)
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".