Bibliographic record
Abstract
Michael Ondaatje’s Divisadero uses musical references to enhance our understanding of how the story’s characters inhabit time and place. The book’s three parts unfold against a varied musical backdrop that can be experienced as a kind of soundtrack. Although musical allusions appear in Ondaatje’s earlier work, Divisadero is marked by its range of musical references, which run from classical compositions to jazz, opera to rock ’n’ roll, reggae to blues and British new wave. This article examines the way music directs us to see different narrative options in each of the novel’s three parts. One impulse behind the narrative is to connect us to the immediate, to locate the story in mimetic terms that are rooted in the California and Nevada settings that form the backdrop to the first part of the book. The musical references in this part serve to reinforce this sense of presence, as if history could be located and understood in terms of the themes and issues conveyed in particular songs. But another impulse is to work against the immediate, to cast the characters and their experiences as part of an allegorical universe in which actions and choices are symbolic, metaphoric, transhistorical.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".