Economies of justice: Workers and labour reformers in late-Victorian Canadian industrial fiction
Bibliographic record
Abstract
In this dissertation I propose the existence of a distinct and previously unacknowledged sub-genre in the Canadian social-reform writing of the 1890s, namely the industrial novel. I concentrate on several late-Victorian Canadian examples: Agnes Maule Machar's Roland Graeme: Knight: A Novel of Our Time (1892), Robert Barr's The Mutable Many (1896), and Albert Richardson Carman's The Preparation of Ryerson Embury: A Purpose (1900). These novels each reflect the expansion of industrial production in the Victorian period and the concomitant social effects of urban industrialism upon the labouring poor. I undertake an examination of these works that analyses the relationship between the novels' middle-class protagonists and the workers whose rights they are defending, seeing in the narrative patterns, imagery, and intertextual references both the articulation of an alternative kind of social justice and a tension emerging between political dissent and political conservatism. These novels of labour unrest caution against violent revolution and instead preach a doctrine of reconciliation and compromise, rooted in a reorientation of conventional notions of justice, a rejuvenation of social institutions, and the imperative of individual moral responsibility. First I focus on Machar's representation of Christian socialism, and how the language of "brotherhood" acts as an antidote and alternative to the morally degenerative effects of industrialism. Machar parallels the labour reform movement to the Christian belief in an afterlife: both are predicated upon faith and deferral, the commission of good works in the present for the benefit of some future blessing. Next, I examine Barr's novel about two strikes in a London factory, looking in particular at issues of leadership and representation. I propose that his novel works to reveal the complexities inherent in any project in which one man must speak for a crowd of others, as the end of the novel amply demonstrates the failure of communication. Finally, in my examination of Carman's novel, I analyse his refashioning of conventional notions of justice. I argue that Carman's narrative suggests the sterility of intellectual debate in the absence of any commitment to social action. I conclude by connecting the late-Victorian Canadian industrial novel to early twentieth-century literary responses to labour advocacy, urbanism, and industrialism.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.044 | 0.041 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".