Spotlight on Music Collections: Interview with Marion Newman, (Ne'ega,) Mezzo-Soprano
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
While previous Spotlight columns have focused on music collections and archives in Canada through the voices of those who work with them, this interview takes a slightly different angle by focusing on the career of Mezzo Soprano Marion Newman (Nege’ga), an internationally recognized opera singer who will be joining the University of Victoria School of Music as Assistant Professor on July 1, 2024. Newman is known across Canada and worldwide for her performances of the works of living Indigenous composers. In this interview, Marion discusses navigating - and stretching the limits of - the modern world of opera while proudly bearing her identity as Kwagiulth and Sto:lo. She also reflects on the complexities of balancing Indigenous traditions with modern Western music practices, her experiences working with written, recorded, and published Indigenous-composed music when, traditionally, and the role that library collections may play in her work as a faculty member at the University of Victoria. The interviewer, Kyra Folk-Farber, is honoured to be good friends with Marion as well as former singing colleagues while they both lived in Toronto, and collaborating with Marion on this interview was, unsurprisingly, a total delight.
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) | 0.001 | 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) | 0.010 | 0.002 |
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