Bibliographic record
Abstract
A large number of tourism-related experiences involve a personal relationship between a visitor and resident host. As immigration continues to be an increasingly integral experience for many people and communities, and advances in technology make relationship maintenance more accessible, the traditional distinctions of travel types based on ‘pleasure’, ‘visiting friends and relatives’ (VFR), and even ‘business’ become blurred and detrimental to conceptual understandings for large numbers of tourism experiences and their impacts. The purpose is to explore the experiences of immigrants with intra-regional travel when they host VFRs. Constructionism was used as a guiding epistemology in this narrative analysis. The research co-constructed narratives with nine participants in Toronto, Canada about their hosting and intra-regional travel. The hosting experience is powerful, linking old and new worlds, and challenging traditional discursive tourism binaries such as home and away. The experience of intra-regional communities through side-trips with VFR guests added additional context where the host was in a non-routine place on vacation, with a guest who brings expectations of participating in leisure, but in a place that has cultural links to the participant's ongoing integration and connection to the broader sense of Canadian culture. Hosting both inspired intra-regional travel, and enhanced the memorable co-construction of meaning associated with the experience as links and distinctions to the culture of origin were more easily made due to the co-presence of their guest. Implications for integration, place making and marketing are discussed.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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 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".