Le tourisme durable : les sept clés du succès
Bibliographic record
Abstract
Le tourisme durable est un phénomène en pleine croissance qui ne touche plus seulement des destinations lointaines, mais également les pays industrialisés qui offrent de plus en plus d’activités touristiques dites durables. Si le développement durable fait partie depuis 2005 de la politique générale de Tourisme Québec, l’offre des acteurs touristiques est isolée, insuffisamment répertoriée et positionnée avec imprécision sur le plan du marketing. Quelle expérience touristique durable souhaite vivre le consommateur ? Quels sont les leviers d’adoption de ces nouvelles pratiques ? Comment mettre au point une offre répondant aux besoins des consommateurs ? Comment réussir dans ce secteur ? À partir d’analyses de la situation en France et au Québec, les auteurs proposent sept clés de succès pour élaborer une offre efficace d’activités touristiques durables.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".