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Notice bibliographique
Résumé
Dong Do Lake is an ecotourism destination exuding pristine beauty, enveloped by the lush greenery of nature. Beyond admiring the unspoiled landscapes, visitors to Dong Do Lake can engage in a multitude of captivating activities, including camping, boating, and indulging in BBQ feasts. In order to investigate the determinants of choosing Dong Do Lake ecotourism destination by Hanoi residents, the research team employed a quantitative research method based on data collected from a survey of 300 individuals, including 159 people who had previously visited Dong Do Lake for ecotourism purposes. The data was cleaned and processed using SMARTPLS software. The research results indicate that, with a 95% confidence level, the "Attitude towards the Dong Do Lake ecotourism destination" (ATT) has the strongest impact on the decision to choose Dong Do Lake ecotourism destination by Hanoi residents, with an impact level of 0.357. Next is the factor "Communication Strategy of the Dong Do Lake ecotourism destination" (CS) with an impact level of 0.249, followed by the factor "Travel Costs" (TC) with an impact level of 0.225, and the factor "Reference Group" (RG) with an impact level of 0.196. Based on the analysis results, the research team provides some discussion points to promote the decision to choose Dong Do Lake ecotourism destination for both people in general and Hanoi people in particular.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».