State of the Canadian hospitality and tourism industry
Bibliographic record
Abstract
Purpose This paper aims to provide a backdrop to the Worldwide Hospitality Themes ( WHATT ) theme issue (volume 9, issue 4) on aspects of the hospitality and tourism industry of Canada. Design/methodology/approach Canadian hospitality and tourism educators and their counterparts in the industry have collaborated periodically to discuss the challenges they face and to find practical solutions. Outcomes of ten key initiatives in Canada during the past 15 years that brought leaders of the hospitality and tourism industry and academia together to create 50 academic papers are summarized. Findings This paper provides key information on Canada, its people, its economic conditions and the challenges of the five sectors of the tourism industry in Canada. By introducing the main challenges faced by each sector, this paper provides a foundation for the other articles that follow in this WHATT theme issue. Practical implications Canadian tourism is losing ground, tourism marketing budgets are significantly reducing and there is a labour shortage crisis which are identified as key challenges requiring urgent attention. In conclusion, the authors suggest practical solutions. Originality/value Readers who are interested in the Canadian hospitality and tourism industry will find this paper to be of interest.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".