Thin Partitions: Remembrance and Reflection in Alfred Fisher's Zakhor: Remember
Bibliographic record
Abstract
The injunction to remember – in Hebrew, Zakhor – is perhaps the most powerful command in the Old Testament, and memory of the past has therefore always been a central component of Jewish experience. Alfred Fisher's character and music suggest both erudition and practicality as crucial components of the Jewish heritage that has formed an increasingly central part of his life and music during the past decade. In the song cycle Zakhor: Remember, poetic and musical cross-referencing of memories is the framework for a fascinating dialectic that informs the structure and the language of the cycle. In this article, the author studies the different levels of unity in the cycle and discusses its tonal structure, which can be characterized as post-Schoenbergian chromaticism, in which much of the harmonic language is controlled by a limited number of pitch-class sets. Remembrance and reflection are here interwoven with Fisher's emotional responses into the intellectual framework of a profound work of art.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".