How Various Segments of Visitors Perceive<i>l’Accueil</i>in the Places Where They Eat, Sleep, and Play
Bibliographic record
Abstract
‘Accueil’ is a French word that means feeling welcome somewhere and being introduced into a process that takes the visitor from being an outsider (a stranger) to being an insider (one of us). Accueil also means feeling the host’s genuine pleasure in welcoming his or her guests through words, attitudes, and actions. Based on a survey (n = 1,003) done for the Quebec Department of Tourism1, we look at how different segments of visitors perceived the ‘accueil’ they received while traveling in the province of Quebec. The results are analysed for lodging, restaurants and attractions. We found that accueil is perceived differently depending on the age of the visitor, the group size and its composition. To a lesser extend, it is also influenced by gender and social status. The characteristics of the trip (distance, purpose and length) have little impact on accueil.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".