Clientele variations and urban nightclub locations; a case study of Vancouver
Notice bibliographique
Résumé
This thesis is concerned with the relations between clientele variations, as indexed by appearance and behavior, and nightclub locations in Vancouver, B.C. Nightclubs are marketers of experiential products where the customer is part of the entertainment. The sociological and psychological literature suggest that a person's appearance and behavior at entertainment activities are a reflection of his self image and are components of his life style. Retail location studies indicated that self image and life style are important factors in a customer's selection of stores at which to shop. Thus appearance and behavior of clientele can be assumed to be a differentiating factor between nightclubs. Two working hypotheses were advanced: 1) that in general nightclubs with similar clientele group together in urban space; and 2) in some cases nightclubs will group together to permit something akin to comparative shopping. A rating instrument was developed to unobtrusively measure seven variables (hair, clothing, facial decoration, companionship, dance, drink, and age) that together describe the appearance and behavior of clientele at nightclubs. The instrument had two subsections, one for male and another for female subjects. The development and testing of the instrument was one of the major tasks of the thesis. Cross tabulations and examination of responses to selected variables indicated that relationships did exist between the categories of the seven variables, for both male and female subjects. It was therefore concluded that there were a number of identifiable client types implicit in the nightclub population. The nightclubs were classified by a hierarchical grouping technique on the basis of similarity of clientele. Both male and female groups showed a definite segmentation along appearance and behavior lines; the male groups also corresponded closely with the entertainment policies of the nightclubs. Further examination indicated that the nightclub groups were spatially defined into seven subdistricts within the C.B.D. and in terms of a core-frame pattern. Four of the subdistricts were determined to be composed of nightclubs with similar clientele, the remaining three subdistricts contained clubs with different yet not incompatible clientele. At a more aggregated scale of five subdistricts, four were shown to have similarities in clientele. The core-frame pattern revealed that there were two groups of clubs with similar clientele; dance and floor show clubs in the core of the C.B.D., and clubs marketing nude entertainment in the frame. This pattern was confirmed by an analysis of the quality of the nightclub sites. The analysis of nightclub locations confirmed that, as hypothesized, definite spatial patterns could be determined from variations in clientele appearance and behavior. A comparison of the male and female group structure indicated that the males were more useful in segmenting the market. It was suggested that this situation was a reflection of the social dominance of the male in choosing entertainment activities.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».