Les transferts de valeurs éco-responsables de l’événement aux parties prenantes sont-ils perçus par les touristes ?
Bibliographic record
Abstract
L’objectif de cette étude est d’ identifier la présence de transferts de valeurs éco-responsables entre un événement éco-responsable, la destination touristique et les entreprises partenaires au travers de la perception des consommateurs. Pour ce faire, le champ théorique du sponsoring est mobilisé et deux approches qualitatives ont été réalisées. La première repose sur des entretiens semi-directifs auprès de spectateurs in situ et la seconde sur une netnographie des communautés virtuelles réunies autour des événements. Les principaux résultats montrent un partage de valeurs environnementales entre l’événement et la destination touristique. Pour les consommateurs, les destinations touristiques et les responsables de l’événement sont solidaires et co-responsables de la préservation des lieux.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".