Bibliographic record
Abstract
The phrases “march of mind” and “march of intellect” proliferated in late-Romantic discourse, especially during the 1820s when they were associated with the interventions of the Society for the Diffusion of Useful Knowledge (SDUK). The SDUK’s promotion of educational and moral betterment for the working classes, among other things through the publication and circulation of cheap reading material, was associated both seriously and satirically with a progressive “march of intellect.” This phrase provokes questions about individual and collective agency and responsibility: whose intellect is marching, where to, and to the beat of whose drum? Poets, novelists, journalists, and illustrators appropriated the “march of mind” trope so as to open up alternative perspectives on the direction, speed, extent, and inclusiveness or exclusiveness of knowledge mobilization during the 1820s. This essay explores their creative and entertaining responses to the “march,” and thereby considers how we might approach this aspect of late-Romantic culture through a combination of literary-cultural studies, book history, and mobility studies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.018 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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 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".