“Glorious uncertainty”: Business and Adultery in Charlotte Riddell’s Too Much Alone
Bibliographic record
Abstract
In the 1860s and 1870s Charlotte Riddell was well-known as the “novelist of the City” of London. Too Much Alone (1860), her first narrative foray into the world of commerce and finance, is both a business novel and a novel of adultery. Focusing on how the text configures the emotional regimes of capitalism, this essay examines Riddell’s representation of irregular desires and capricious feelings in relation to what she sees as endemic in commercial society: not fraud, but insecurity and uncertainty, whether “glorious” or dreary. The experience of uncertainty, I argue, provides the point of intersection between the two narrative strands of business and adultery. Explicitly addressed to business people, the novel offers a lesson in sentimental education, a type of training in the ability to tolerate the uncertain, repackaged as an intense emotional experience.
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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 | 0.000 | 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) | 0.000 | 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 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".