The Books Were Re[a]d: A Dialogic Approach to the Censorship and Social History of The Grapes of Wrath and Doctor Zhivago
Bibliographic record
Abstract
Mikhail Bakhtin’s philosophical thought is largely focused on the interconnectivity of human discourse, privileging literary genres (i.e. the novel). Language comprises of both the structural components of linguistics and a non-verbal component that corresponds to the context of the enunciation. Therefore, the social situation that creates an utterance cannot be diminished. This thesis examines the social history of John Steinbeck’s The Grapes of Wrath (1939) and Boris Pasternak’s Doctor Zhivago (1958), both realist novels that have faced censorship, using Bakhtin’s theories of dialogics and centripetal and centrifugal forces. The Grapes of Wrath and Doctor Zhivago came out in different epochs and were products of the two conflicting ideologies of the 20th century – liberal capitalism and communism. These distinctions provide an interesting forum for comparing the legitimacy of Bakhtin’s theories with regard to censorship across societies.
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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 | 0.018 | 0.035 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".