El impacto de un evento deportivo mediano: percepción de los residentes de la comunidad de acogida (The impact of a medium-size sporting event: The host community perceptions)
Why this work is in the frame
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Bibliographic record
Abstract
El objetivo de este estudio es conocer las percepciones de los residentes de una ciudad sede sobre un evento deportivo de mediana escala, como es el Open 500 de tenis de Valencia, a través de la identificación de grupos cuya actitud hacia este evento sea similar. Después de la realización de la encuesta se aplicó un análisis factorial exploratorio que permitió agrupar la escala de 23 ítems en cuatro factores: impacto socio-cultural y deportivo, impacto en el desarrollo urbano y las infraestructuras, impacto socio-económico e impacto en la imagen y la promoción. En segundo lugar, se realizó un análisis clúster combinando métodos jerárquicos y no jerárquicos, que permitió encontrar tres grupos de residentes: Favorables, Moderados y Desfavorables. Finalmente se observaron las características del perfil y las diferencias entre los grupos de residentes. Los resultados mostraron que el grupo de ciudadanos favorable al evento era bastante reducido en comparación con los otros dos colectivos. También, se encontraron diferencias estadísticamente significativas en las variables relacionadas con el interés por el deporte, la asistencia al acontecimiento, el grado de afición por el tenis, el respaldo a la celebración del evento, el trabajo vinculado al sector del turismo o los eventos y la identificación con la política de eventos deportivos. Los resultados de este estudio proporcionan una información útil a los organizadores de eventos deportivos y autoridades para comprender y atender mejor las necesidades y demandas de los ciudadanos.Palabras clave: evento deportivo mediano, percepción de los residentes, impacto social, análisis clúster.Abstract: The aim of this study was to determine the residents perceptions of a city based on a medium-scale sporting event, such as tennis Open 500 Valencia, through the identification of groups whose attitude toward this event is similar. After completing the survey, an exploratory factor analysis was performed grouping the 23-item scale in four factors: socio-cultural and sports impact, infrastructure and urban impact, socio- economic impact and impact on the image and promotion. Second, cluster analysis was performed combining hierarchical and non-hierarchical methods, which allowed finding three groups of residents: Favorable, Moderate and Unfavorable. Finally, profile observed characteristics and differences between groups of residents. The results showed that the group of citizens with a favorable attitude towards the event was relatively small compared to the other two groups. Also, statistically significant differences were found in the variables related to the interest in the sport, event attendance, degree of fondness for tennis, supporting the event, the work related to tourism or events and the identification with sports events policy. The results of this study provide useful information for sports event organizers and authorities to understand and better meet the needs and demands of citizens.Key words: medium-scale sporting event, residents’ perceptions, social impact, cluster analysis.
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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 | 0.018 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it