Bibliographic record
Abstract
Abstract Purpose – This paper seeks to develop a framework for comparisons and benchmarking between wine tourism destinations. Design/methodology/approach – A regional case study was undertaken, including data from a survey of 23 wineries in Canada's Okanagan Valley, British Columbia. The survey provides the winery perspective on development of wine tourism, as well as opinions on what should be done to improve wine tourism. Findings – Wineries were found to be pursuing tourism developments, but kept little data on visitors and related spending. Their goals and opinions on what is needed in the region revealed that they are mostly oriented toward domestic, independent travelers. One hypothesis emerging from this case study is that the growth and increasing sophistication of wine tourism infrastructure, both at wineries and elsewhere in the region, is in large part a function of market potential. On the supply‐side, a critical mass can be facilitated through establishment of major, landmark wineries that are purpose‐built as tourist attractions. Practical implications – Using this profile of the Okanagan, implications are drawn for comparisons and benchmarking among wine tourism destinations, including a suggested process and measures. Research limitations/implications – The single case study limits generalizability to other destinations, and the achieved sample of wineries does not necessarily reflect the major corporate wineries in the Okanagan Valley. More systematic comparison of wine regions is recommended. Originality/value – This research makes an original contribution for applying the concept and method of benchmarking to wine tourism destinations. It is of value to the wine industry, destination marketers, and host community planners.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.015 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".