With the rise of innovation and entrepreneurship as avenues for journalists to take in their search for journalistic work, we need to critically interrogate how these terms are understood. Various journalism institutions are pushing a particular understanding of journalism, and of what constitutes meaningful and innovative journalism. In this paper, we review the literature on these themes and draw on experimental research done by one of the authors to argue for a more process-oriented approach to journalistic innovation and entrepreneurship. As a researcher-maker, one of the authors created an innovative journalistic project and tried to develop a business model for this project. She participated in an accelerator process organised by one of the main funds aimed at journalism innovation in the Netherlands. We show that one existing, and prevalent, understanding of innovation in journalism is one that is linear, rational and outcome-oriented. We challenge this understanding and draw on process-oriented theories of innovation to introduce the concepts of effectuation, improvisation and becoming as new lenses to reconsider these phenomena. These concepts provide clearer insight into the passionate and improvisational nature of doing innovative journalistic work.
The realization of one’s musical ideas at the keyboard is dependent on the ability to transform sound into movement, a process called audiomotor transformation. Using fMRI, we investigated cerebral activations while classically-trained improvising and non-improvising musicians imagined playing along with recordings of familiar and unfamiliar music excerpts. We hypothesized that audiomotor transformation would be associated with the recruitment of dedicated cerebral networks, facilitating aurally-cued performance. Results indicate that while all classically-trained musicians engage a left-hemisphere network involved in motor skill and action recognition, only improvising musicians additionally recruit a right dorsal frontoparietal network dedicated to spatially-driven motor control. Mobilization of this network, which plays a crucial role in the real-time transformation of imagined or perceived music into goal-directed action, may be held responsible not only for the stronger activation of auditory cortex we observed in improvising musicians in response to the aural perception of music, but also for the superior ability to play ‘by ear’ which they demonstrated in a follow-up study. The results of this study suggest that the practice of improvisation promotes the implicit acquisition of hierarchical music syntax which is then recruited in top-down manner via the dorsal stream during music performance. In a study of audiomotor transformation in Parkinson patients, we demonstrated a dissociation between dysprosody in speech and music. While patients’ speech could reliably be distinguished from that of healthy individuals, purely on the basis of aural perception, no difference was observed between patients and healthy controls in their ability to sing improvised melodies.
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Music moves us, literally. We tend to move the body in synchrony with the beat. Individuals without any professional music training are capable of singing or humming along with an unfamiliar melody or indicating the melodic contour by means of hand gestures. Musicians who play by ear are able to do the same on an instrument.In this study an attempt was made to quantify the extent to which professional keyboard performers were able to play by ear, and whether improvising musicians were superior to non-improvising. During the experiment, subjects were asked to listen to short, unfamiliar music excerpts recorded on a MIDI controller. Subjects were asked either to play along, replicate the excerpt, transpose it to a different key, or to harmonize it. Subjects were recruited from two groups of classically-trained musicians: improvising and non-improvising pianists and church organists. The bass and treble parts extracted from each MIDI sequence were compared with the bass and treble from the aural model, yielding an alignment score for each task. The comparison was performed using content-based music retrieval software developed in the WITCHCRAFT project for the study of folksong melodies. Results showed that the top voice was replicated better than the bass. There were large differences between the musicians. As a group, improvising musicians scored better than non-improvising musicians, however this difference was not significant. Mixture analysis showed that top-scorers came from both groups. Subjects with perfect pitch did not perform better.
