The strange thing of which we find ourselves a part: Theodore Dreiser's virus novel
Bibliographic record
Abstract
Abstract An American teacher of literature and poetry living in Montréal, Curtis Brown, recovers Theodore Dreiser's An American Tragedy (1925) as a ‘virus novel’, venturing an integrated response to two literary questions occasioned by the recent pandemic: What might the contemporary ‘Covid novel’ look like? And how did the Spanish flu of 1918–1919—which infected a third of the world's population and killed 50 million—leave literary traces so few and faint? Brown tracks the genesis of An American Tragedy in Dreiser's personal life, his research in microbiology and his general interest in plagues to show how a form traditionally associated with the ‘individual moral adventure’ was repurposed for an institutional epic of viral contagion and systemic malaise. Charting the vicissitudes of Dreiser's reputation over a century, and presenting his formal innovations as widely assimilated, largely unrecognized, and more relevant than ever, Brown concludes that a writer's influence, like a virus, can disappear into ubiquity.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".