Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although multitrack audio recordings are a critical component of nearly every recorded musical work, they have historically been difficult to acquire because of their commercially sensitive nature. However, one example of an emergent archive and collections, that allows researchers to peer into the record company vaults, is the EMI Music Canada Archive at the University of Calgary (UofC) in Canada. This archive holds demo tapes, song lyrics, concert planning documents, promotional material, cover art, correspondence between artists, management, producers and executives in addition to the multitrack tapes of the recordings. The following chapter draws upon materials gathered from the UofC Archives, (that of Canadian Rock band ‘Grapes of Wrath’ and their album These Days (1991) produced by British Record Producer John Leckie) and describes how researchers at the University of Victoria in British Columbia, Canada, Drexel University in Philadelphia, USA, and Leeds Beckett University in Leeds, UK, designed and delivered a mixing course to students using these materials. Students were asked to reflect on their own learning and experience throughout the project and these reflections helped to show that focusing on telling the story of the record, and using the additional archival materials to do so, did more than just improve students’ technical mixing skills. Instead, it helped the students to develop a wider appreciation of the ways in which their creative decisions might be received by the relevant stakeholders such as the band, the producer, etc. and, importantly, helped them better understand their role as a mix engineer within the production process.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it