Beer Tourism in Canada Along the Waterloo-Wellington Ale Trail
Bibliographic record
Abstract
Food and beverage tourism can promote and enhance theidentity of a destination.Beer tourism is investigated in terms of itsimpact on local food and beverage businesses and the success of alliances amongsmall retailers.A literature review of the food and beverage tourismindustry is provided, as is a discussion of partnerships created among theseindustries and a discussion of the Ale Trail, a beer tourism region set in theCanadian counties of Waterloo and Wellington. To investigate the Ale Trail, surveys were distributed among the sixbreweries comprising the Ale Trail.Data were collected from visitors tothese breweries over a three-year seasonal period from 1998-2000, for a samplesize of 2,136. The findings suggest that visitors are pleased with the Ale Trail and thatfuture sales may be positively impacted since almost all the visitors indicatedthey intended to purchase a sampled product in the future.The brewerieshave also learned to create an alliance, working together to promote beertourism at their respective breweries.This alliance has resulted inbenefits for both small and large firms. (AKP)
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".