Meliorating Much? Malthus, the Aikin Family, and Post-Revolutionary Disssenting (and Gender) Politics
Bibliographic record
Abstract
There is evidence to suggest that, in the years following the publication of Thomas Robert Malthus’ Essay on the Principle of Population (1798), John Aikin, his sister Anna Letitia Barbauld, née Aikin, and his daughter Lucy found significant inspiration in it. While as liberal Dissenters they retained a lifelong commitment to the principle of “free inquiry” and the cause of reform, disillusionment with the course of the revolution made the Aikins receptive to Malthus’ particular challenge to the doctrine of “perfectibility.” Indeed, Malthus crucially shaped their post-revolutionary politics, and, in the case of Barbauld and her niece, specifically their gender politics, although they notably found in Malthus not only explanations for the failures to improve the condition of women historically but also some validation for women beyond the role of wife and mother.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".