“A Garden of Forking Paths”: Reimagining Dreiser (Dreiser’s Path: A View With a Modern Lens. Edited by Irina V. Morozova. Moscow: RSUH Publ., 2023. 206 p.)
Bibliographic record
Abstract
The review focuses on the collective monograph Dreiser’s Path: A View with a Modern Lens (2023). The scholarly work reevaluates Dreiser's significance as a classic of American literature and offers a contemporary perspective on his legacy through the lens of modern methodologies such as critical race theory, postcolonial theory, gender theory, etc. The attention of prominent researchers in American literature and culture from Russia, the USA, Canada, and the UK is drawn to Dreiser's contradictory and hermetic view of society and its artistic projection. The monograph reevaluates Dreiser's creative legacy, considering both major and well-known works as well as minor forms. The researchers featured in the monograph highlight the reasons why certain laws operate in Dreiser's artistic world, align Dreiser's value system with the social norms prevailing during his time, typologize the components of Dreiser's texts, and theorize them using contemporary methodological tools. They also juxtapose Dreiser's texts with other artifacts of American culture and demonstrate the evolution of Dreiser's perception from the times of the USSR to the present day. The monograph was conceived in 2021 as a special tribute to Theodore Dreiser to mark his 150 anniversary.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.008 | 0.019 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".