Bibliographic record
Abstract
I composed Saturn and Jupiter as part of my Master's degree thesis at Wesleyan University in 2003.It is an electro-acoustic and soundscape composition that responds to Glenn Gould's 1967 radio documentary, The Idea of North.I made the source recordings while on a week-long trip to Churchill, Manitoba, where I took the same train that Gould had taken some thirty years earlier.Saturn and Jupiter responds both to the ideas in Gould's documentary in the form of interviews, and compositionally by imposing considerably more atmospheric space into the work.Where Gould's documentary is noisy with talking -Gould famously pioneered a technique he called 'contrapuntal radio' where he layers multiple speaking voices simultaneouslythe spoken components of my documentary are quite sparse.This new presentation commemorates the re-opening of the Winnipeg -Churchill train line after suffering massive flooding damage in 2017.In this version, listeners are invited to hear and view to the 32 movements in a customizable configuration.The interactive map allows users to select the movements, which are each named for a stop on the train line, and have them compiled into a playlist.
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 | 0.013 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".