Mining Medical Journals: Religion and Ideology in Nineteenth-Century Medicine.
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
In this paper, we present a multidisciplinary project, IMPRESS, which combines the digitization of three major nineteenth-century Belgian medical journals with a historical research project on the role of ideology in nineteenth-century Belgian medicine. We focus on the extent to which text mining has allowed us to identify and evaluate expressions of ideology in a corpus of medical texts. In showing how we used the digital tool AntConc to answer typically historical research questions, we intend to contribute to current debate on the gains and limitations of digital methods in the humanities. We conclude that, while acknowledging the many interpretative interventions in preparing searches and qualifying outcomes, the use of the tool has enabled us to shed new light on the role of ideology in scientific exchange. Text- mining operations have offered a fresh insight into the chronology of ideological vocabulary, the used language, and the distribution of ideological patterns across journal sections.Dans cet article, nous présentons un projet multidisciplinaire, IMPRESS, qui fusionne la numérisation de trois journaux médicaux belges du 19e siècle avec un projet de recherche historique enquêtant sur le rôle de l’idéologie dans la médecine belge au 19e siècle. Nous nous concentrons sur la mesure dans laquelle la fouille de textes nous permet d’identifier et d’évaluer des expressions d’idéologie dans un corpus de textes médicaux. En montrant la façon dont nous avons employé l’outil numérique AntConc afin de répondre à des questions de recherche typiquement historiques, nous avons l’intention de contribuer au débat actuel sur les avantages et désavantages de méthodes numériques dans les humanités. Tout en reconnaissant les diverses interventions interprétatives dans la préparation de recherches et dans la qualification de résultats, nous concluons que l’usage de l’outil nous permet de jeter un nouvel éclairage sur le rôle de l’idéologie dans l’échange scientifique. Les opérations de la fouille de textes ont fourni un nouvel aperçu de la chronologie du vocabulaire idéologique, du langage utilisé et de la distribution de motifs idéologiques à travers des sections de journal.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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