Análisis textual del campo de la escucha musical y la etnomusicología
Barra lateral del artículo
Contenido principal del artículo
Resumen
El fenómeno de la escucha musical humana y la disciplina conocida como etnomusicología establecen relaciones científicas, en el estudio de fenómenos musicales y prácticas en el contexto sociocultural, la interacción y la experiencia de la percepción sonora, entre otros. Este trabajo tiene como objetivo efectuar un análisis textual cienciométrico a partir de un cuerpo bibliográfico de (n=221) documentos provenientes del sistema de investigación académica OpenAlex. Se emplea un abordaje metodológico semántico compuesto por indicadores textuales, bibliométricos y de redes que analizan el mapeo temático del campo, producto de técnicas como el acoplamiento bibliográfico, creación multipalabras, análisis de correspondencias, mapas temáticos, temas tendencia y redes de citaciones y co-ocurrencias. Los hallazgos permiten resaltar la importancia del sonido organizado en la vida humana para establecer significados culturales, lo cual se deriva de los principales estudios del campo y los planos conceptuales influyentes. Las conclusiones resaltan la importancia de la escucha musical y sus efectos en las formas de percepción, mediante enfoques antropológicos y etnomusicológicos que interpelan la escucha musical, en tanto formas de estudio contextuales a nivel sociocultural e interdisciplinar.
Descargas
Detalles del artículo
Citas
Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. doi:https://doi.org/10.1016/j.joi.2017.08.007
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2023). TAll: a new shiny app of text analysis for all. In F. Boschetti, G. Lebani, B. Magnini, & N. Novielli (Eds.), Proceedings of the 9th Italian Conference on Computational Linguistics (CLiC-it 2023) (pp. 476-479). Accademia University Press.
Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2025). TALL: A new shiny app for text analysis. In A. Pollice, & P. Mariani (Eds.), Methodological and applied statistics and demography III. SIS 2024, short papers, contributed sessions 1 (pp. 64-70). Springer. doi:https://doi.org/10.1007/978-3-031-64431-3
Balz, T. (2022). Scientometric full-text analysis of papers published in remote sensing between 2009 and 2021. Remote Sensing, 14(17), 4285. doi:https://doi.org/10.3390/rs14174285
Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An open source software for exploring and manipulating networks. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 361-362. doi:https://doi.org/10.1609/icwsm.v3i1.13937
Bayley, A. (2011). Recorded music : performance, culture and technology. Cambridge University Press.
Becker, J. (2010). Exploring the habitus of listening. In P. N. Juslin, & J. Sloboda (Eds.), Handbook of music and emotion: Theory, research, applications (pp. 127-157). Oxford University Press.
Berger, H., & Carroll, M. (Eds.). (2003). Global pop, local language. University Press of Mississippi.
Bieletto-Bueno, N. (2019). Regímenes aurales a través de la escucha musical: ideologías e instituciones en el siglo XXI. El Oído Pensante, 7(2), 111-134. Retrieved from http://revistascientificas.filo.uba.ar/index.php/oidopensante/article/view/7563
Blacking, J. (1973). How Musical Is Man? . University of Washington Press.
Bordignon, F. (2021). A scientometric review of permafrost research based on textual analysis (1948–2020). Scientometrics, 126(1), 417-436. doi:https://doi.org/10.1007/s11192-020-03747-4
Chion, M. (1994). Audiovision: Sound on screen. Columbia University Press.
Cruces, F. (2001). Las culturas musicales: Lecturas de etnomusicología. Editorial Trotta.
Daughtry, J. M. (2015). Listening to war: Sound, music, trauma, and survival in wartime Iraq. Oxford University Press. doi:https://doi.org/10.1093/acprof:oso/9780199361496.001.0001
Deliège, I., & Sloboda, J. (Eds.). (1997). Perception and cognition of music. Psychology Press.
Dong, Y. (2024). The application of classical and popular music in music therapy. Journal of Humanities, Arts and Social Science, 8(10), 2358-2362. doi:https://doi.org/10.26855/jhass.2024.10.019
Douglas, G. (2018). Listening to War: Sound, Music, Trauma, and Survival in Wartime Iraq. Ethnomusicology, 62(1), 139–144. doi:https://doi.org/10.5406/ethnomusicology.62.1.0139
Feld, S. (1982). Sound and sentiment: Birds, weeping, poetics, and song in Kaluli expression. University of Pennsylvania Press.
Feld, S. (2015). Acoustemology. In D. Novak, & M. Sakakeeny (Eds.), Keywords in sound (pp. 12–21). Duke University Press. doi:https://doi.org/10.1215/9780822375494
Frith, S. (2017). Taking popular music seriously: Selected essays. Routledge. doi:https://doi.org/10.4324/9781315087467
Gheno, G. (2021). BIBLIOBICLUSTER: A bicluster algorithm for bibliometrics. In I. Maglogiannis, J. Macintyre, & L. Iliadis (Eds.), Artificial intelligence applications and innovations. AIAI 2021. IFIP Advances in Information and Communication Technology (pp. 271-282). Springer. doi:https://doi.org/10.1007/978-3-030-79150-6_22
Ginsborg, J. (2015). Review of Expressiveness in music performance: Empirical approaches across styles and cultures. Psychomusicology: Music, mind, and brain, 25(2), 155–158. doi:https://doi.org/10.1037/pmu0000092
Gottfried, T. (1998). Review of perception and cognition of music. Notes, Quarterly Journal of the Music Library Association, 55(2), 374–376. doi:https://doi.org/10.2307/900181
Gray, L. (2020). Listening for affect: Musical ethnography and the challenge of/to affect. Culture, Theory and Critique, 61(2-3), 319–337. doi:https://doi.org/10.1080/14735784.2020.1857287
Habron, J. (2016). Dalcroze eurhythmics in music therapy and special music education. Approaches: An Interdisciplinary Journal of Music Therapy, 8(2), 100-104. doi:https://journals.qmu.ac.uk/approaches/article/view/331
Herbert, R. (2011a). Everyday music listening: Absorption, dissociation and trancing. Ashgate.
Herbert, R. (2011b). Reconsidering music and trance: Cross-cultural differences and cross-disciplinary perspectives. Ethnomusicology Forum, 20(2), 201–227. doi:https://doi.org/10.1080/17411912.2011.592402
Herbert, R. (2019). Absorption and openness to experience: An everyday tale of traits, states, and consciousness change with music. In R. Herbert, D. Clarke, & E. Clarke (Eds.), Music and consciousness 2: Worlds, practices, modalities (pp. 233–253). Oxford University Press. doi:https://doi.org/10.1093/oso/9780198804352.003.0014
Hladik, R., & Renisio, Y. (2025). Mapping knowledge: Topic analysis of science locates researchers in disciplinary landscape. Poetics, 108, 101950. doi:https://doi.org/10.1016/j.poetic.2024.101950
Hovy, D. (2020). Text analysis in Python for social scientists: Discovery and exploration. Cambridge University Press. doi:https://doi.org/10.1017/9781108873352
Iezzi, D., & Celardo, L. (2020). Text analytics: Present, past and future. In D. Iezzi, D. Mayaffre, & M. Misuraca (Eds.), Text analytics. Advances and challenges (pp. 3-15). Springer. doi:https://doi.org/10.1007/978-3-030-52680-1_1
Jacoby, N., Margulis, E., Clayton, M., Hannon, E., Honing, H., Iversen, J., . . . Wald-Fuhrmann, M. (2020). Cross-cultural work in music cognition: Challenges, insights, and recommendations. Music Perception, 37(3), 185-195. doi:https://doi.org/10.1525/mp.2020.37.3.185
Jacoby, N., Polak, R., Grahn, J., Cameron, D., Lee, K., Godoy, R., . . . Oishi, S. (2024). Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries. Nature Human Behaviour, 8(5), 846–877. doi:https://doi.org/10.1038/s41562-023-01800-9
Juslin, P. (2021). Mind the gap: The mediating role of emotion mechanisms in social bonding through musical activities. Behavioral and Brain Sciences, 44, e80. doi:https://doi.org/10.1017/S0140525X2000120X
Kratus, J. (2017). Music listening is creative. Music Educators Journal, 103(3), 46-51. doi:https://doi.org/10.1177/0027432116686843
Lauria, F. (2023). Affective responses to music: An affective science perspective. Philosophies, 8(2), 1-32. doi:https://doi.org/10.3390/philosophies8020016
Liang, B., van der Wal, C., Xie, K., Chen, Y., Brazier, F., Dulebenets, M., & Liu, Z. (2023). Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review. Safety science, 158, 105955. doi:https://doi.org/10.1016/j.ssci.2022.105955
Luján-Villar, J. (2025). ¿Por qué escuchamos música? perspectivas científicas sobre la percepción musical. Miradas, 20(2), 131–154. doi:https://doi.org/10.22517/25393812.25795
Luján-Villar, J. (2026). Redes sociales de producción científica en la etnomusicología mundial. Redes. Revista Hispana Para El análisis De Redes Sociales, 37(2), 176–194. doi:https://doi.org/10.5565/rev/redes.1159
Luján-Villar, J., & Luján-Villar, R. (2022). Sociología y etnomusicología: un estudio de caso del relacionamiento entre raperos. Cambios y Permanencias, 13(2), 1-21. Retrieved from https://revistas.uis.edu.co/index.php/revistacyp/article/view/13875
Luján-Villar, R. (2012). Las audiciones de salsa en Cali. Caracterizaciones sociológicas. Luján Editores.
Margulis, E., Wong, P., Turnbull, C., Kubit, B., & McAuley, J. (2022). Narratives imagined in response to instrumental music reveal culture-bounded intersubjectivity. PNAS Proceedings of the National Academy of Sciences of the United States of America, 119(4), 1–11. doi:https://doi.org/10.1073/pnas.2110406119
McCann, B. (2004). The city of musical memory: salsa, record grooves, and popular culture in Cali, Colombia. Hispanic American Historical Review, 84(3), 554–555. doi:https://doi.org/10.1215/00182168-84-3-554
McKerrell, S. (2022). Towards practice research in ethnomusicology. Ethnomusicology Forum, 31(1), 10-27. doi:https://doi.org/10.1080/17411912.2021.1964374
Meizel, K., & Daughtry, J. (2019). Decentering music: Sound studies and voice studies in ethnomusicology. In H. Berger, & R. Stone (Eds.), Theory for ethnomusicology: Histories, conversations, insights (pp. 176-203). Routledge. doi:https://doi.org/10.4324/9781315408583
Merriam, A. (1964). The Anthropology of Music. Northwestern University Press.
Michailidis, P. (2022). A scientometric study of the stylometric research field. Informatics, 9(3), 1-19. doi:https://doi.org/10.3390/informatics9030060
Misuraca, M., & Spano, M. (2020). Unsupervised analytic strategies to explore large document collections. In D. Lezzi, D. Mayaffre, & M. Misuraca (Eds.), Text analytics. JADT 2018. Studies in classification, data analysis, and knowledge organization (pp. 17-28). Springer.
Nettl, B. (1983). The study of ethnomusicology: Twenty-nine issues and concepts. University of Illinois Press.
Östersjö, S., Thủy, N., Hebert, D., & Frisk, H. (2023). Shared listenings: Methods for transcultural musicianship and research. Cambridge University Press. doi:https://doi.org/10.1017/9781009272575
Pettan, S., & Titon, J. (Eds.). (2016). The Oxford handbook of applied ethnomusicology. Oxford Academic. doi:https://doi.org/10.1093/oxfordhb/9780199351701.001.0001
Pons, P., & Latapy, M. (2006). Computing communities in large networks using random walks. Journal of Graph Algorithms and Applications, 10(2), 191–218. doi:https://doi.org/10.48550/arXiv.physics/0512106
Priem, J., Piwowar, H., & Orr, R. (2022). OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts. arXiv:2205.01833. doi:https://doi.org/10.48550/arXiv.2205.01833
R Core Team. (2009). R: A language and environment for statistical computing. R foundation for statistical computing. (versión 2024.04.2) [software]. Posit Software, PBC. Retrieved from https://www.R-project.org/
Rice, T. (2013). Ethnomusicology: A very short introduction. Oxford University Press. doi:https://doi.org/10.1093/actrade/9780199794379.001.0001
Rice, T. (2015). Listening. In D. Novak, & M. Sakakeeny (Eds.), Keywords in sound (pp. 99–111). Duke University Press. doi:https://doi.org/10.1215/9780822375494
Rice, T. (2017). Modeling ethnomusicology. Oxford University Press.
Rose, S., Engel, D., Cramer, N., & Cowley, W. (2010). Automatic keyword extraction from individual documents. In M. Berry, & J. Kogan (Eds.), Text mining: Applications and theory (pp. 1–20). Wiley. doi:https://doi.org/10.1002/9780470689646
Savage, P. (2026). Comparative Musicology: Evolution, universals, and the science of the world’s music. Oxford University Press.
Small, C. (2010). Musicking: The meanings of performing and listening. Wesleyan University Press.
Sosa, J., Urrego-López, A., Prieto, C., & Camargo-Díaz, E. J. (2025). Constructing the truth: Text mining and linguistic networks in public hearings of case 03 of the Special Jurisdiction For Peace (JEP). arXiv preprint. arXiv:2504.04325. doi:https://doi.org/10.48550/arXiv.2504.04325
van Eck, N., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(2), 1053-1070. doi:https://doi.org/10.1007/s11192-017-2300-7
Waxer, L. (2012). The city of musical memory: Salsa, record grooves and popular culture in Cali, Colombia. Wesleyan University Press.
Welch, D., Reybrouck, M., & Podlipniak, P. (2023). Meaning in music is intentional, but in soundscape it is not—a naturalistic approach to the qualia of sounds. International Journal of Environmental Research and Public Health, 20(1), 269. doi:https://doi.org/10.3390/ijerph20010269
Wong, D. (2004). Speak it louder: Asian Americans making music. Routledge.
Yende, S., & Xulu, Z. (2025). Decolonising sound: The scholarship of teaching and learning for 21st-century music students in South Africa. International Journal of Learning, Teaching and Educational Research, 23(12), 62-77. doi:https://doi.org/10.26803/ijlter.23.12.4