Inspiration Clones literature: Tracing the imprints of Bob Dylan’s Song on Joyce Carol Oates’s Story

Drawn by the dedication of Joyce Carol Oates’s story “Where Are You Going, Where Have You Been?” to Bob Dylan and motivated by her later admission regarding the inspiration of Dylan’s song “It’s All Over Now, Baby Blue” to write the story, the study examines how the song has transmitted its imprints on the story. Inspiration is the theoretical framework for the study, which has been diversely explained by various theorists incorporating its elusive nature. However, they have a common understanding of its role as a necessary condition for creativity. This inquiry synthesizes the literature associated with the song and the story, analyzes the theories related to creative inspiration, and scrutinizes the reiteration of evidence from the seminal song in the story. The reiteration of context, character, and imagery of the song in the story infers the whole story as literary cloning of the song. Ultimately, the study contributes to understanding how a form of art facilitates the audience not only offering joy but also inspiring them for their further creative process and how the seminal work reappears as metamorphosis.

Research on the Influence of Music

As for question 1, based on the directed relationship between influencers and followers, we building a network of musicians based on influential relationships. A Music Influence Evaluation Model (MIEM) was also established, and the model formula is shown in the text. We then select the top 200 artists in the “music influence” ranking to build a subnet. The larger the subnet node, the more lines are extended. Indicating that the node represents the musician’s influence is large and extensive. From the graph, we can see that Bob Dylan is influential, but the breadth of influence is not enough; Miles Davis influenced a wide range of music factions.As for question 2?We have developed a Music Similarity Evaluation Model (MSEM) to calculate the contribution parameters of fifteen different music metrics. Using fully connected neural networks combined with triple loss to solve the answer. According to the characteristics of Triple Loss, we can make the similar nodes in the space closer together and the dissimilar nodes further apart. After training, our neural network is able to distinguish artists very well. The results were obtained: artists within genres are far more similar than artists between genres, and a classification image of musicians from different genres was produced.As for question 3, a comparative plot of characteristics revealed that music genres also have their own particular musical characteristics. The comprehensive analysis concludes that the difference between genres is mainly reflected by the six features of valence, tempo, mode, key, acousticness, and instrumentalness, and this result is verified by k-means clustering. By plotting the percentage of influence as well as the change of musical characteristics, it was concluded that the influence of genres changes over time; some musical characteristics in genres also change over time. Finally, the similarity between each faction is calculated and plotted as a heat map, and the genres with high similarity must have interrelated relationships with each other.As for question 4, we have developed a Music Influence T-test Model (MITM). We hypothesized that “influencers” would not influence followers to create music, and a t-test using SPSS rejected the original hypothesis and concluded that “influencers” would influence followers to create music. Additionally, Contagious Evaluation Model(CEM) was also be created. We established the “contagious” index and calculated the Pearson correlation coefficients between “contagious” and 15 musical characteristics, and obtained the results: energy, loudness, and acousticness are more “contagious” than other characteristics. Results: energy, loudness and acousticness are more “contagious” than other features.As for question 5, a time series plot of the variation for each musical characteristic with year was plotted and the analysis yielded the following conclusion: There are characteristics that signify revolutions in musical evolution from these data. For example, the music after 1960s showed changes characterized by higher rhythmicity, faster tempo, and fewer spoken words. Based on these musical evolutionary changes, combined with the “musical influence” we calculated earlier, we select five musical change-makers: The Beatles, Bob Dylan, The Rolling Stones, Miles Davis and Jimi Hendrix.As for question 6, we combined musical influences to identify the most influential musicians in each genre in each era as dynamic influencers to represent the music of the genre in that period. Creating images of their musical characteristics over time and analyzing them in relation to the history of musical development led to the conclusion that an artist’s musical identity changes with technology, social development, and changes in genre representation?As for question 7, a Network Connectivity Evaluation Model(NCEM) was developed to measure which artists in the music network were heavily influenced by external factors during the time period. The first and middle of the 20th century were found to be highly connected online, and this period coincided with a period of social upheaval, with the Cold War, World War II, the Industrial Revolution, and the rapid development of the Internet having a great impact on music, from which many new musical styles were born.

Endocrinology in the Time of COVID-19: A Rapid Evolution of Knowledge and Care

American singer-writer and visual artist Bob Dylan produced the song “The Times They Are a-Changin” in the 1960s, which became a rallying cry for the civil rights and anti-war movements in that decade [...]

Matrices of ‘Love and Theft’: Joan Baez Imitates Bob Dylan

This article uses Joan Baez's impersonations of Bob Dylan from the mid-1960s to the beginning of the twenty-first century as performances where multiple fields of complementary discourse converge. The article is organized in three parts. The first part addresses the musical details of Baez's acts of mimicry and their uncanny ability to summon Dylan's predecessors. The second considers mimicry in the context of identity, specifically race and asymmetrical power relations in the history of American popular music. The third and final section analyses her imitations in the context of gender and reproductive labour, focusing on the way various media have shaped her persona and her relationship to Dylan. The article engages critical theoretical work informed by psychoanalysis, post-colonial theory, and Marxist feminism.