Cultural and Heritage Tourism in Canada: Opportunities, Principles and Challenges
Bibliographic record
Abstract
Tourists today are increasingly seeking new and different experiences beyond those provided within ‘three S’ destinations and traditional holiday places. Heritage appeal within destinations is capturing the interest of a more mature and discerning market. Canada as a destination is well placed to benefit from this trend, marketing heritage over other forms of travel experience. This paper is in three parts. First, a discussion of heritage tourism in Canada is presented that stresses diversity over the myth of a product base that is limited around a few themes, namely Mounties, mountains and moose. Secondly, principles of sustainable heritage tourism are advanced that include authenticity and quality, conserving and protecting the resource base, provision of learning as integral to the experience, and the development of partnerships between hosts, guests and managers. Thirdly, based on field visits undertaken in 1998 to sites containing cultural and heritage tourism attractions within the provinces of Ontario (mainly the south-western region) and Alberta, these principles are examined and discussion is provided on the challenges managers of sites face in implementing such principles.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".