Neutrosophic Analysis of the Cultural Impact of the Pinkullo in Llata: Integrating ChatGPT and fsQCA

Abstract

This study explores the cultural impact of the Pinkullo, a traditional Andean aerophone, on the community 
of Llata, Peru, through an innovative approach that integrates neutrosophic set theory with computational 
methods.  By employing fuzzy-set Qualitative Comparative Analysis (fsQCA) and a novel application of 
ChatGPT for neutrosophic sentiment analysis, the research investigates the complex interplay between the 
Pinkullo and various aspects of community life, including cultural participation, social impact, and cultural 
preservation.  Textual data collected from surveys was analyzed using the "ChatGPT Constructor" add-on 
in Orange Data Mining to generate neutrosophic scores, representing the truth, indeterminacy, and falsity 
of expressed sentiments towards the Pinkullo. These scores were then fuzzified and incorporated into the 
fsQCA to identify the key configurations of factors that contribute to a high degree of cultural participation. 
The findings reveal that a positive sentiment towards the Pinkullo, combined with its perceived social 
impact and role in cultural preservation, constitutes a crucial pathway for fostering cultural engagement. 
This research not only provides valuable insights into the enduring significance of the Pinkullo in Llata but 
also demonstrates the potential of integrating large language models and neutrosophic logic to analyze 
complex cultural phenomena, paving the way for new interdisciplinary approaches in the study of cultural 
heritage.

DOI: 10.5281/zenodo.14720559