The Canadian hotel industry: a roundtable discussion on challenges and trends
Bibliographic record
Abstract
Purpose This paper aims to provide a relevant backdrop for the Worldwide Hospitality and Tourism Themes (WHATT) theme issue on the hotel industry of Canada, and to describe how the 2012 WHATT roundtable in Canada was organised. Design/methodology/approach The foundation for this paper was laid during a well attended Worldwide Hospitality and Tourism Themes (WHATT) roundtable discussion between industry leaders and hospitality educators in May 2012. The paper is written in the context of the theme and strategic question for the 2012 Canadian WHATT roundtable: “What innovations are needed in the Canadian hotel industry and how might they be implemented to secure the industry's future?”. Findings This paper provides key information on Canada, its economic conditions, the tourism industry and the hotel industry. It also explains the origins of WHATT and its scholarly journey over the last 19 years. In capturing the essence of the 2012 WHATT roundtable discussion in Canada, the paper provides a strong foundation for the other seven papers that follow in this WHATT theme issue. Practical implications The paper looks at key challenges of the hotel industry in Canada and provides thought‐provoking viewpoints from experts. Originality/value Readers who are interested in the Canadian hotel industry would benefit from this paper. Authors include the president of the umbrella trade association for the hotel industry, the Hotel Association of Canada, and the editor and publisher of the leading trade magazine for the hotel industry of Canada, Hotelier.
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 | 0.015 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.038 | 0.009 |
| Scholarly communication | 0.020 | 0.007 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.007 | 0.010 |
| 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".