Bibliographic record
Abstract
Abstract: This essay revisits the perennial question of Oliver Twist's flat and inert character. It argues that the different genres overlaid within the novel—allegory, statistical report, it-narrative—allow Dickens to make the social critique that drives the novel. The statistical report and itnarrative, particularly, demonstrate that the discourse of Benthamism, which underpinned the New Poor Law, is inadequate to narrate human subjectivity. These genres dramatize Dickens's critique of the law: that it turns people into fungible units. The flat characters and objectifying genres of Oliver Twist drive the novel's powerful argument about humanity and community. For most of the novel, Oliver can be read via a posthuman critique; he has more in common with the objects and animals of it-narrative than with Pip or David Copperfield. To bring about novelistic resolution, Dickens finally turns to a familiar and satisfying romance plot, revising Oliver into a true protagonist with agency and a unique identity. This essay challenges the convention that flat characters are authorial failures by arguing that in Victorian novels, as genre and character co-create one another, they construct particular, strategic models of human subjectivity and agency.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".