A study of changes to the websites of British Columbia wineries between 2004 and 2012
Bibliographic record
Abstract
This study evaluates the changes that took place in British Columbia wineries’ websites from 2004 to 2012. Through a longitudinal content analysis of website features, this research provides a better understanding of the technological status and marketing activities of British Columbia wineries. The first part of this research covers literatures on the wine industry and its e-commerce adoption. An extensive overview of e-commerce adoption models and website strategies were included in this thesis. Through adoption of the Website Stage Model, this study reveals that market integration increases from the basic stage to advanced stages but remains the same across advanced stages. The findings also show that there is an increasing tendency of wineries to complete online transactions on wineries’ websites instead of outsourcing these transactions to third parties. In addition, this study identifies several new and emerging features in the wineries’ websites that will help future research in the wine industry. Wineries will be able to use this research to easily assess their current website stage. This study also provides wineries with information about the level of sophistication of online marketing activities. The current trends illustrated by the data of British Columbia wineries will help wineries move their websites to a more advanced stage. Moreover, the research provides insights for wineries in British Columbia to adopt e-commerce using the industry specific market integration model.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".