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Repertoire Selection in Piano Competitions and Examinations:
An Adjudicator-Centered Framework for Evaluative Optimization

  • jiazishin
  • May 4
  • 4 min read

Abstract
Repertoire selection in piano competitions and examinations is frequently treated as a pedagogical decision based on technical readiness. However, from an adjudicative perspective, repertoire functions as a critical mediating variable that shapes evaluative perception. This study examines repertoire selection through the lens of cognitive and comparative adjudication processes, arguing that performance outcomes are influenced not only by technical execution but also by expectation bias, novelty perception, and sequential contrast effects. Drawing upon performance psychology and pedagogical practice, this paper proposes an adjudicator-centered framework for repertoire selection that emphasizes evaluative positioning, stylistic distribution, and perceptual impact. The findings suggest that strategic repertoire selection can significantly enhance competitive outcomes by structuring how performances are received, interpreted, and valued.

Keywords: Piano adjudication; repertoire selection; competition evaluation; expectation bias; performance psychology

I. Introduction
In piano competitions and graded examinations, performance is not evaluated in a vacuum. Rather, adjudicators interpret each performance within a dynamic cognitive framework shaped by repertoire familiarity, stylistic expectations, and immediate comparison with preceding performances. While technical proficiency and musical interpretation remain fundamental criteria, repertoire selection operates as a pre-evaluative structure that conditions both perception and judgment. As such, it directly influences how a performance is heard before it is formally assessed. Despite its significance, repertoire selection is often approached primarily as a pedagogical issue of technical suitability. This paper argues instead that repertoire choice constitutes a form of strategic positioning within an evaluative system, and that understanding adjudication as a cognitive process allows for more effective repertoire planning.

II. Adjudication as a Cognitive and Comparative Process

2.1 Expectation Bias and Canonical Repertoire
Canonical works by composers such as Frédéric Chopin and Franz Liszt occupy a central place in competition repertoire. Due to repeated exposure, adjudicators develop highly specific internal benchmarks for these works. Research in cognitive psychology suggests that repeated exposure leads to schema formation, whereby listeners develop structured expectations regarding phrasing, tempo, articulation, and tone (Kahneman, 2011). In performance contexts, this results in increased sensitivity to deviation, reduced tolerance for inconsistency, and immediate comparison with internalized ideal models. Consequently, performances of canonical repertoire are subject to heightened evaluative stringency.

2.2 Novelty Effect and Perceptual Engagement
In contrast, less frequently performed repertoire disrupts established listening schemas, producing a novelty effect. This aligns with findings in attentional psychology, where unfamiliar stimuli elicit increased cognitive engagement (Parncutt & McPherson, 2002). Within adjudication contexts, novelty can reset listener attention, reduce reliance on comparison-based evaluation, and enhance receptivity to interpretive individuality. Importantly, novelty does not lower evaluative standards; rather, it alters the perceptual framing through which performance is assessed.

2.3 Sequential Evaluation and Contrast Effects
Competition adjudication typically occurs under conditions of sequential listening, in which multiple performances are evaluated within a limited timeframe. This creates conditions for contrast effects, whereby judgments are influenced by immediately preceding performances (Kahneman, 2011). When multiple candidates perform identical repertoire, direct comparison becomes unavoidable, small discrepancies are amplified, and ranking is shaped by relative rather than absolute quality. Diversifying repertoire reduces direct comparability and allows performances to be evaluated within a more independent perceptual frame.

III. A Framework for Strategic Repertoire Selection

3.1 Technical Optimization vs. Evaluative Yield
Traditional pedagogy often emphasizes selecting repertoire at the upper limit of a student’s technical capacity. However, research on expertise development highlights the importance of deliberate practice within manageable limits (Ericsson, 1997). From an adjudicative standpoint, optimal repertoire lies within approximately 80–90% of a performer’s maximum capacity, where technical control is reliable, musical expression is fully accessible, and performance consistency supports evaluative confidence.

3.2 Repertoire Saturation and Competitive Density
Highly performed works create dense evaluative fields, in which multiple candidates are directly compared. This increases evaluative pressure, standardization of interpretation, and the risk of unfavorable comparison. Conversely, selecting repertoire of comparable difficulty but lower saturation increases distinctiveness, a key factor in adjudicative recall and scoring.

3.3 Stylistic Distribution and Musicianship Signaling
Adjudicators often assess not only individual performances but also broader indicators of musicianship. A well-balanced program spanning multiple stylistic periods signals technical versatility, historical awareness, and interpretive flexibility. Such distribution aligns with pedagogical models emphasizing comprehensive musical development (Lehmann & Gruber, 2006).

IV. Repertoire Strategies Across Historical Periods

4.1 Underrepresented High-Level Works
Works such as Liszt’s Années de pèlerinage, Debussy’s Feux d’artifice, Rameau’s Pièces de clavecin, and piano miniatures by Anatoly Lyadov offer high artistic value while remaining relatively underrepresented in competitions. Their rarity enhances perceptual distinction without compromising technical rigor.

4.2 Classical Clarity and Structural Transparency
Sonatas by Joseph Haydn provide an effective balance between technical accessibility and musical sophistication. Compared to Mozart and Beethoven, Haydn’s works are less frequently performed, allowing performers to stand out while demonstrating clarity of articulation and structural awareness.

4.3 Timbre-Oriented Repertoire and Sonic Differentiation
Repertoire by Claude Debussy and Maurice Ravel emphasizes timbral nuance and sonic color. Such works are particularly effective in competition contexts, as they create immediate auditory contrast and enhance memorability.

4.4 Expanding the Romantic Canon
Beyond standard repertoire, works by Johannes Brahms, Robert Schumann, and Franz Schubert offer interpretive depth with comparatively lower saturation, enabling performers to demonstrate musical maturity without entering highly competitive repertoire clusters.

V. Case Analysis
A student selected a work from Liszt’s Années de pèlerinage in a competition setting. While technically comparable to more commonly performed Liszt repertoire, the work’s relative rarity reduced direct comparison and enhanced perceptual distinctiveness. Adjudicators responded positively to both the repertoire choice and its execution, awarding the student an Encouragement Award. This case illustrates that repertoire differentiation can positively influence evaluative outcomes independently of absolute technical hierarchy.

VI. Conclusion
Repertoire selection is not merely an artistic or pedagogical choice; it is a structural component of evaluative perception. By understanding adjudication as a cognitive and comparative process, educators and performers can approach repertoire selection with greater strategic awareness. Rather than prioritizing difficulty or popularity, effective repertoire selection seeks to optimize perceptual positioning, distinctiveness, and artistic coherence. In competitive performance, what is heard is inseparable from how it is framed. Repertoire selection defines that frame.

References
Chaffin, R., Imreh, G., & Crawford, M. (2002). Practicing perfection: Memory and piano performance. Lawrence Erlbaum Associates.
Ericsson, K. A. (1997). Deliberate practice and the acquisition of expert performance. Psychological Review, 100(3), 363–406.
Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.
Lehmann, A. C., & Gruber, H. (2006). Music. In K. A. Ericsson et al. (Eds.), The Cambridge handbook of expertise and expert performance (pp. 457–470). Cambridge University Press.
Parncutt, R., & McPherson, G. (2002). The science and psychology of music performance. Oxford University Press.
Williamon, A. (2004). Musical excellence: Strategies and techniques to enhance performance. Oxford University Press.
 
 
 

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