Strange yet Familiar Sounds in Zosha Di Castri’s String Quartet No. 1
Bibliographic record
Abstract
This paper presents a detailed analysis of Zosha Di Castri’s String Quartet No. 1 (2016), situating the work in relation to the composer’s still-nascent oeuvre and showing how it contains a diverse mix of stylistic impulses within its relatively compact form. The concept of defamiliarization, borrowed from literary criticism, provides a useful theoretical basis for understanding the work. By presenting familiar musical figures within strange new contexts, Di Castri effectively bypasses habitual modes of reception and encourages the listener to engage more actively with the work’s multi-coded discourse. This revivification of perceptual awareness is accomplished using a number of compositional techniques, including the juxtaposition or superimposition of contrasting materials, the transformation of motives, and the distortion of formal syntax. Taken together, these defamiliarizing devices mount an aesthetic intervention that playfully subverts compositional norms, allowing Di Castri to take a decisive step forward in the development of her own musical style.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".