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The following peer review was presented to the author during the process and has influenced the final exposition. It is here presented in a slightly edited form.
Anonymous Reviewer
The exposition fits the theme of the issue, as it focuses on music performance underlying, through the focus on algorithmic thinking, the procedural nature of performance, rather than its status of ‘being’ as a finished product (as stated by the author in the first paragraph of ‘read me first’.)
It must be noted though that the way in which the author describes music performance seems both vague and reductive. First of all, in writing about the completeness of music performance it would be important to take into account (at least in a footnote) modes of performance that challenge this view, or even take it as the object of performance itself (e.g. experimental music, Fluxus, free jazz, etc.). Secondly, throughout the exposition a vision of music performance emerges which resembles merely the explication of compositional processes, and which is therefore partial and limiting (or could become interesting, but provided that the author states her self-awareness of this point of view, or that sufficient argumentation is given).
This exposition might be interesting as a pedagogical introduction to algorithmic thinking, as it contains several and disparate entertaining examples demonstrating the ubiquity of algorithmic thinking in human activities. At an academic level though, these examples would need to be elaborated, and especially the link to music performance be investigated more thoroughly and profoundly. This exposition might seem more a draft for a more elaborated paper, a starting collection of ideas.
It is clear that the argument is made from the perspective of someone who is acquainted with compositional processes and music performance. The relevance of artistic practice is shown mostly in the section “Combinatoriality”, where the author reports a survey done among members of a contemporary music group. Nevertheless, the connection with the theoretical horizon (in itself a bit scanty and underdeveloped) seems to deserve more engagement, and a deeper and more specific account of practice as knowledge production.
For example: the survey hints to an interesting process, where different instrumentalists process actions in a different order according to the specificity of the instrumental interfaces, and of the physicality and spatiality of these interfaces. The same score is mapped by these different specificities in different ways, and interpolated with “each player’s ‘mindfulness’ about detail that renders her/his approach individual.” Nevertheless, a conclusion seems missing about what the author describes as the “quality of the outcome.” How is it affected? What defines such quality? The exposition would benefit a lot from an attempt to address these questions.
On the other hand, questions are asked about music performance that seem not to pertain specifically to algorithmic thinking. When the author asks “Do you just listen to what you are doing? How much do you concentrate on listening to the present music-making, and how much do you follow the pre-conceived design for the performance that you’ve created in your practice? What proportion of concentration power do you allocate along the timeline of the performance, meaning between what has happened before now, what is happening now, and what is about to happen? - she makes not clear to what an extent answers to these questions might connect to algorithmic thinking.
The theoretical horizon (the nature of algorithmic thinking) is faced in too simplistic a way for other disciplines to benefit from the exposition.
Does the submission contain a description or exposition of the question, issue or problem the research is exploring? If not, does this omission matter?
Yes, the question and issue are clearly stated, but their treatment seems not exhaustive. As the author rightly points out, a certain amount of algorithmic thinking seems to underlie every single human activity. In this sense though, she makes not clear what is the specificity of music performance; at the same time the way she describes algorithmic thinking is limited to a list of examples, without deeper discussion of its implications.
The exposition suggests that observing every human action in terms of algorithms is revealing, but, once this is explained, it provides a theoretical framework that remains too vague. I would appreciate a reflection on where the distinction between algorithmic and non-algorithmic processes lies. Too many questions remain suspended. Among them, I can suggest: is algorithmic thinking confined to instructions and decision-making processes? Cannot we define basic human processes, such as language itself, as algorithms? And if so, what is the impact of algorithm thinking also in unconscious or automatic processes? How do algorithms shape the way of perceiving the world? Do emotions, for example, challenge the ubiquity of algorithmic thinking? Or not? What about perceptions? Etc.
Does the submission show evidence of innovation in content, form or technique in relation to a genre of practice?
No, the submission does not propose any innovation in content, form or technique in relation to a practice. It limits itself to the observation of a pre-existing established practice.
Is the research issue contextualized in terms of social, artistic and/or theoretical issues? Is it linked to discussion on the positions taken by other artists to whom this work contributes a particular perspective? Is the process that led to this submission well documented? If not, do such omissions matter?
References are brought in relation to theoretical issues, some en passant, some more substantially documented (e.g. Gibson, Loycker, MacKenzie). No voices from other artists are brought to the table (save for the results of the survey conducted among colleagues).
Does the submission provide new knowledge, interpretation, insights or experiences in, on, or for art or art pedagogy? What might these comprise?
This exposition provides some insights on the processual nature of performance, shifting the discourse from performance as finished object to performance as process of decision-making.
Are the methods used adequate and sound? Is the research, analysis and/or experiment thorough?
The examples provided have the merit of being easy and entertaining, but seem too simplistic for an academic level. The exposition does not address the topic of methodology – which is not a problem, but also does not provide much consistency or direction.
The exposition is legible, easy to approach and understand. The integration of media is simple but functional and engaging. In the introduction, with the hint to an instruction leaflet (“Read me first”) the author suggests an interesting format for developing the exposition as an algorithmic series of instructions itself. Possible suggestion: why not follow this initial idea throughout the exposition in a form that replicates the algorithmic thinking exposed in it? It would make things more intriguing.
This exposition faces a topic of potential interest, namely the discussion of algorithmic thinking in processes of music performance. The treatment of this topic, though, suffers from a lack of specificity and profundity. On the one hand, the general theoretic framework is treated in terms that are too simple, and that leave too large an amount of basic questions unanswered; on the other hand, the specific focus of the paper – music performance – is treated only in vague terms, without the deeper engagement that is expected from a practitioner and an artist. A large amount of presuppositions undermines the soundness of the paper, specifically about the relationship between composition and performance, performance and listening, performance and electronic music, interpretation and improvisation, various notational systems (e.g. tablature vs rhythmic-diastematic). There are some practical and theoretical implications of thinking about music performance in terms of algorithmic processes that seem promising, but that are unfortunately left unexplored.
Possible suggestions:
– Given the claim in the exposition (with which I tend to agree) that algorithmic thinking is a forcefully ubiquitous process at the basis of human acting, it would be fruitful to reflect on what part(s) of the musical experience (or more general human experience) challenge algorithmic thinking, or are left uncovered by it.
– The submission would benefit from deeper investigation on the implications of algorithmic thinking from the maker’s perspective. What are the subtler consequences of explaining music performance through algorithms? What does it actually change? Are there practical examples where this mode of thinking can make a difference, or have an impact?
– The distinction announced in the abstract between algorithmic composition and algorithmic performance seems a very promising ground. What could be the implications of thinking algorithmically in performance independently of compositional algorithmic processes? What is the specificity of performance in contrast to composition that thinks algorithms in its own modalities and media?