Croatian Diaspora as a Potential Tourist Market: The Case of Canada
Bibliographic record
Abstract
Diaspora members feel a strong connection to their homeland. Their motivations for travel in the homeland range from visiting the homeland, relatives, and friends, searching for their “roots”, attending important national and religious holidays, conferences and educational programmes to using health services, visiting tourist attractions and having a holiday. This research study aims to identify and analyse the personal motives of the Croatian diaspora residing in Canada for visiting and revisiting the homeland, their socio-demographic profile, travel characteristics, tourism experience and future travel intentions. The empirical research was conducted among members of the Croatian Canadian community. It is based on an online survey conducted from January to March 2022. The findings show that Croatian Canadians are an attractive market segment for diaspora tourism. The primary motives for travelling to Croatia are associated with visiting family and friends, visiting the homeland, and going on a beachside holiday. For the emigrant population, nostalgia/homesickness is the other crucial motive for travelling to Croatia, while for their descendants, it is sightseeing/visiting tourist attractions. Respondents born in Canada are more satisfied with tourism development than those born in Croatia. More than 80% of Croatian diaspora residing in Canada are definitely planning to visit or revisit their homeland in the future. The article provides new insights into the motivation and behaviour of Croatian Canadians as potential tourists visiting Croatia, which is insufficiently researched in tourism literature. It enables a better understanding of the unique characteristics and nature of the travels of diaspora members of two generational groups, which facilitates decision-makers to adapt to their needs. The study provides guidance for improved management of diaspora tourism.
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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 | 0.002 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".