The In-Between of Jazz and the Blues : Beyond Marginality in Esi Edugyan’s Half-Blood Blues
Bibliographic record
Abstract
In this paper I show how in the Ghanaian-born Canadian writer Esi Edugyan’s Half-Blood Blues, the marginality of a“hitherto little-regarded corner of the black Diaspora”—the history of the so-called Rhineland Mischlingers—is put in the center of a story that concerns itself with specific memories of the Second World War of a Black American jazz musician. In order to do so, I focus on the different forms of liminality—or in-betweenness—that these memories present : temporal, spacial, ethnic and musical, as well as generic and finally linguistic. I show that these liminalities—at the very margin of marginality, or beyond—will reveal the horrors of war but will also create a Deleuzian ligne de fuite that allows the protagonist to come to terms with this painful period in his life as a musician and as a man.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".