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Record W4389377940 · doi:10.32920/24756813.v1

Humanities Research Software Design: The Wilde Trials Web App

2023· preprint· en· W4389377940 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicComputational and Text Analysis Methods
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNewspaperSoftwareWeb applicationMedia studiesPolitical scienceWorld Wide WebSociologyComputer science

Abstract

fetched live from OpenAlex

<p>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).</p> <p>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.</p> <p>Conclusion and implications: Our work stands at the forefront of software design and data-driven research on the nineteenth-century press.</p>

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.061
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.633
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0610.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.804
GPT teacher head0.585
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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