Scientists and Their Publics: Popularization of Science in the Nineteenth Century
Bibliographic record
Abstract
In 1799 the Royal Institution was founded in London, in the wake of various provincial literary and philosophical societies; in 1851, under Prince Albert of Saxe-Coburg’s aegis, the Great Exhibition attracted vast crowds to London, yielding profits to buy land in South Kensington for colleges and museums; and in 1900 the Paris Exposition heralded a new century of scientific and technical progress. There were prominent critics, but the wonders of science proved throughout the nineteenth century to be attractive to audiences of the aristocracy and gentry, of working men, and of everybody in between – which was fortunate, because in this world of competing beliefs and interests, of markets and industrial capitalism, those engaged in science needed to arouse the enthusiasm of people who would support them. Popularization started in Europe but was taken up in the United States, in Canada and Australasia, in India and other colonies, and in Japan. We shall focus upon Britain because of its place as the first industrial nation, where cheap books and publications emerged early, and scientific lectures were a feature of intellectual life. Specialization came relatively late to British education, so that until the end of the nineteenth century, university graduates shared to a great extent a common culture. Great Britain contained two nations, the English and the Scots, whose educational histories were very different; and Ireland was another story. Scotland had been, ever since its Calvinist Reformation, a country where education was valued and could be had cheaply in parochial schools and at the universities: It was throughout the eighteenth and nineteenth centuries an exporter of talent, to England, the Continent, and North America.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".