Less is More, and More is Less, More or Less: The Historical Progression, Aesthetic Characteristics, and Physical Limitations of Minimalism
Bibliographic record
Abstract
Since its emergence as an aesthetic category in the mid-twentieth century, minimalism has been contentious amongst scholars of all forms of art. It has been alternately celebrated, questioned, and condemned by not only its critics, but also the artists whose works have been given the historical title “minimalist.” This article explores the emergence of minimalist music, examining its relation to the earlier “avant-garde” works of John Cage and other eclectic influences, such as jazz and Eastern music. In doing so, this article attempts to establish a broad understanding of the elements integral to minimalist music, with a special focus on the composers La Monte Young, Terry Riley, and Steve Reich. The works of Riley and Reich are compared to the works of visual artists Barnett Newman and Sol LeWitt in order to highlight the pivotal elements of the minimalist aesthetic, including repetition, simplicity, and, to borrow Cage’s term, “Unfixity.” This article concludes that the minimalist compositions of the aforementioned composers ultimately demonstrate the integral characteristics of minimalism better than their visual counterparts, due to the temporal nature of music. However, the article seeks to demonstrate the importance of contemplating visual and musical interpretations of minimalism together, as they are complimentary windows into this modern movement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".