DIAGNOSING FROUDE'S DISEASE: BOUNDARY WORK AND THE DISCIPLINE OF HISTORY IN LATE‐VICTORIAN BRITAIN
Bibliographic record
Abstract
ABSTRACT Historians looking to make history a professional discipline of study in Victorian Britain believed they had to establish firm boundaries demarcating history from other literary disciplines. James Anthony Froude ignored such boundaries. The popularity of his historical narratives was a constant reminder of the continued existence of a supposedly overturned phase of historiography in which the historian was also a man of letters, transcending the boundary separating fact from fiction and literature from history. Just as professionalizing historians were constructing a methodology that called on historians to be inductive empirical workers, Froude refused to accept the new science of history, and suggested instead that history was an individual enterprise, one more concerned with drama and art than with science. E. A. Freeman warned the historical community that they “cannot welcome [Froude] as a partner in their labors, as a fellow‐worker in the cause of historic truth.” This article examines the boundary work of a professionalizing history by considering the attempt to exclude Froude from the historian's discourse, an attempt that involved a communal campaign that sought to represent Froude as “constitutionally inaccurate.” Froude suffered from “an inborn and incurable twist,” argued Freeman, thereby diagnosing “Froude's disease” as the inability to “make an accurate statement about any matter.” By unpacking the construction of “Froude's disease,” the article exposes the disciplinary techniques at work in the professionalization of history, techniques that sought to exclude non‐scientific modes of thought such as that offered by Froude.
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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 | 0.015 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.023 | 0.088 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".