The Sorcerer as Apprentice: his Notes (The computer in/and teaching the craft of composition)
Bibliographic record
Abstract
In order to highlight some of the transformations in the practice of composition that occur due to the introduction of computing, the author provides two texts in a special typographical format which he calls ‘parallel processing’. An allegorical story entitled Wolf-URL together with ensuing texts that deal with interpretations of the allegory, particularly in a section entitled Updaters, Update Now!, attempt to put forward a critical apparatus for dealing with documentation (and underlying ideologies) related to an enquiry, with its non-exhaustive findings, that the author conducted during the spring of 2007 into the transformation of the craft of musical composition since the 1970s. They include musings about the relationship between professor and student composer where the computer plays or does not play a role in the teaching process. The outlines of this enquiry are located in a section entitled Setup Wizard; an assessment model is found in the Assessment Wizard. By means of this new print format, the reader will be able not only to speed up the reading experience and exchange valuable information between the multiple fragments, but will also be able to draw whatever implications seem fitting from the ongoing juxtaposition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".