THE SOCIAL AND CULTURAL POLITICS OF LISTENING TO BLACK CANADA(S)
Bibliographic record
Abstract
This dissertation, Social and Cultural Politics of Listening to Black Canada(s) develops the concept, Black Nowheres, and its two registersnow here and know hereto understand how the pervasive conditions of anti-Blackness structure the world and can be registered in everyday sound and sonic practices. I employ a range of unsettled listening practices to sonically think and grapple with the dynamics of Black being and Blackness in Canadaparticularly how Black people are treated by the Canadian Nation Stategiven the Nations complex relationship to Blackness and Black people. This dissertation also registers how, in spite of the violence that establishes Black nowheres, Black people assert generative sonic practices that insist on knowing Black life on different terms. This dissertation is thematically organized by key tropes that are persistent in both Black Studies and Sound Studies: Noise, Voice, and Soundscape. While these tropes thematically organize the chapters/tracks of the dissertation, I engage in practices of thinking aboutas well as thinking with and throughBlack sonic practices to register the nuances of Black sociality in Canada. As such, each chapter registers the nuanced dynamics of what I name Black nowheres to understand how Black life is constituted through vulnerability to the overwhelming force of anti-blackness and white supremacy, and yet not capitulating to only [sic] be known by these same forces [] (Campt, 2017, p. 23). In shifting the focus from fixed readings of sounds and sonic practices of Black people and Blackness in Canada to listening to what sounds, and sonic practices of Black people and Blackness in Canada, do, this dissertation shifts our relation from one of total mastery and legibility of Black Canada(s) to insisting we unfold and reveal the intricacies of Black being and Blackness in Canada without limit.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.051 | 0.038 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".