Humanities Research Software Design: The Wilde Trials Web App
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background:This article discusses the design of Web-based research software to computationally analyze the international news coverage of the playwright Oscar Wilde’s 1895 sex trials. Over two months, Wilde stood three trials, eventually being convicted of “gross indecency” (1885 Criminal Law Amendment Act).Analysis: Over the past year, we have collaboratively designed a program to advance our understanding of the trials’ cultural impact as they were reported in newspapers around the world. Bridging our expertise in nineteenth-century cultural history and software engineering, we discuss the concept and design of the Wilde Trials Web App, as well as early discoveries about the French news coverage and plans for the program’s further development.Conclusion and implications: Our work stands at the forefront of software design and data-driven research on the nineteenth-century press.
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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 | 0.148 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it