Bibliographic record
Abstract
In 1854 the biologist Thomas Henry Huxley pointed to a significant change in the way that reviewers were treating books that endorsed deeply flawed scientific theories. In the past, “when a book had been shown to be a mass of pretentious nonsense,” it “quietly sunk into its proper limbo. But these days appear, unhappily, to have gone by.” Due to the “utter ignorance of the public mind as to the methods of science and the criterion of truth,” scientists were now forced to review such books in order to expose their deficiencies (Huxley 1903, 1). Huxley’s observation indicates how the development of a mass reading audience in mid-nineteenth century Britain transformed the very nature of scientific controversy. Scientists were compelled to debate the validity of theories in new public sites, not just in exclusive scientific societies or in specialized scientific journals with limited circulation. It was during the nineteenth century that public controversy—not limited to science alone—became possible for the first time. In this short piece I will discuss how the “communications revolution” produced a public space for the debate over evolutionary theory in mid-nineteenth century Britain. I will focus on periodicals as one of those public spaces in which the debate took place.1 As Huxley found, attempting to resolve a scientific controversy in the general periodical press could be a risky venture. Although a non-specialized journal could provide the public space necessary for reaching the reading audience, maintaining scientific authority in such a site was somewhat problematic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.021 | 0.034 |
| Scholarly communication | 0.024 | 0.021 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.031 | 0.004 |
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".