He is also author of Is It Painful to Think?: Conversations with
Bibliographic record
Abstract
For one week in August, an unprecedented gathering took place at the Banff Centre for the Arts. Nestled amidst the peaks of the Canadian Rockies, a hun-dred and fifty musicians, composers, ecologists, radio producers, sound artist-s, philosophers, journalists, and activists met together to honor the sixtieth birthday of Canada’s pioneer composer and sonic environmentalist, R. Murray Schafer. Many Trumpeter readers are no doubt familiar with Schafer’s musicomytholog-ical performances that take place at the juncture between humanity and earth. His Princess and the Stars was written to be performed at dawn on a wilderness lake, depicting the beginning of his vast ten part cycle of theatrical extrava-ganzas that replay the story of Theseus (Wolf) and Ariadne (the Princess) in various guises from the sixties to ancient Egypt. The conclusion will be And Wolf Shall Inherit the Moon, a week long participatory journey to be experi-enced by the audience in tandem with the performers, who will have worked years together before the plans for the adventure will be ready.
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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.013 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.021 |
| Insufficient payload (model declined to judge) | 0.018 | 0.008 |
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".