Revisioning Victorian(ist) Listening: Rereading Elizabeth Gaskell's Canadian Landscapes through Inuk Sound
Bibliographic record
Abstract
Abstract: Colonial landscapes permeate the English imagination of the nineteenth century, and our gaze has been fixed on them. There is much more to the Victorian world, however, than meets the eye. The Victorians were immersed in sound, and colonial landscapes were also soundscapes. Elizabeth Gaskell's Mary Barton (1848) ends with Mary looking out over a pristine Canadian landscape from which sound is conspicuously absent. I propose that we reread novels like Gaskell's through the soundscapes of Tanya Tagaq's Split Tooth (2018). The unrepresented soundscapes of Tagaq's narrative refigure sound as form, and, through her text, we are invited to listen differently. Only by hearing the sounds of Victorian novels can we begin to reimagine relations that stem from colonial encounters depicted in their many silences.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.029 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".