“I Am, My Dear Slanderer, Your Faithful Malignant Demon”: Harriet Martineau and the Westminster Review’ s Comtist Coterie
Bibliographic record
Abstract
Between 1852 and 1858, Harriet Martineau contributed to the Westminster Review under John Chapman’s editorship. This discussion outlines Martineau’s relationship with the Westminster Review as a writer, as part of the cutting-edge socio-literary Chapman circle, and as an investor who, for a time, held its mortgage. Martineau’s financial investment proved to be ill-advised, as did her professional involvement with the bohemian “Comtist coterie” that congregated at 142 Strand. Circumstances shaping this history include public and private, familial and professional, the morally high-handed and scandalous, comprising a lively melodrama that involved some of the most prominent literati of the 1850s.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".