Overture: DJ Methodology: Resounding the Past
Bibliographic record
Abstract
"Overture: DJ Methodology: Resounding the Past" is the introductory chapter to Soundin' Canaan: Black Canadian Poetry, Music, and Citizenship by Paul db Watkins. Part exploration of a key group of Black Canadian poets, part literary, cultural, and musical history, Soundin’ Canaan demonstrates how music in Black Canadian poetry is not solely aesthetic, but a form of social, ethical, and political expression. Soundin' Canaan refers to the code name often used for Canada during the Black migration to Canada. The book analyzes the contributions of key Black Canadian poets, including their poetic styles and their performances. The book has several key objectives, including recuperating the collision of the historical and the Biblically derived figure of Canaan, the promised land of freedom and security for an African American population seeking to leave the shackles of slavery behind and the northern terminus of the underground railroad. Centering around the poetry of George Elliott Clarke, Dionne Brand, M. NourbeSe Philip, Wayde Compton, and rapper K’naan, it delves into how these poets draw inspiration from African American and Afro-diasporic musical genres, such as blues, jazz, reggae and dub, hip-hop, and remix, to reshape the notions of identity and citizenship. Soundin' Canaan asks: what does Canadian citizenship sound like, especially when voiced by Black Canadian poets who embrace a fluid and multicultural form of citizenship that moves between local and global spaces, much like music does? Using a DJ Methodology, the author mixes in close readings of poetry, music, cultural and literary history, as well as various interviews with the poets. The book includes an accompanying soundtrack to further enhance the reading experience. Listening to the poets in this book—that is in listening closely to the poems, sounds, and musical samples they bring into the mix—constitutes “sonic citizenship.” This co-performative act of reading, listening, and sounding serves as a reminder of how citizens inhabit and negotiate life in Canada beyond the formal legal framework of the nation-state.
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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 | 0.034 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.025 | 0.045 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".