THE RISE OF CRAFT BREWING INDUSTRY IN QUÉBEC’S PERIPHERAL REGIONS (CANADA): LOCATION, NEO-LOCALISM, AND COMMUNITY BUILDING
Bibliographic record
Abstract
Local development, especially in outlying or declining regions, is a perennial issue. “Neolocalism,” a combined marketing and community-building approach, draws upon and strengthens local identity and culture to create unique products, to bolster tourism and place branding, but also as ends in themselves. Craft breweries are often associated with neolocalism. In this paper, which focuses on peripheral regions of Québec, we first explore how brewers perceive their connection with local areas: whilst marketing is part of the story, local development and community revitalization are also important to them. We then assess the degree to which local development aspirations are reflected at a wide scale, using a quantitative approach. Whilst there is evidence that local breweries in peripheral areas are associated with a wider tourist economy—comprising hospitality and cultural sectors—there is no evidence that breweries are associated with higher incomes or economic vitality. This contrasts with regions closer to metropolitan areas, where there is less evidence of local tourist economies in the vicinity of craft breweries, but where breweries tend to locate in more prosperous and economically dynamic areas, likely for reasons of market access.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".