Bibliographic record
Abstract
Simone Schmidt is a folk and country musician based in tkaronto (Mohawk word from which Toronto, Ontario, is derived). Schmidt's 2017 album Audible Songs from Rockwood is part of their solo work as Fiver and part of an attempt to write “new life into and around folk, country, and rock songs.” The album is based on their time spent at the Archives of Ontario reading the original case files of the Rockwood Asylum for the Criminally Insane that operated in Kingston, Ontario, from 1856 to 1881. The songs are sung from the imagined perspectives of different women imprisoned at Rockwood. I read and engage with Schmidt's work as a performance of unsettling. Unsettlement comes through on this album in direct ways, such as Schmidt's challenges to ideas of land possession and challenges to the bases of the medical and psychiatric designations. More subtle challenges come through the portrayals of the women, which, though largely imagined, come from a place of self-reflexivity. In this paper I will examine how Schmidt uses the sounds of traditional North American folk and country music as a sonic bed for a performance of unsettling on Audible Songs from Rockwood.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.027 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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 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".