Women, war and intelligence in Ypres and the Flemish West Quarter (1488–1489)
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
This article sheds light on the often-overlooked roles women played in the intelligence networks of Flanders during the war against Maximilian of Austria in 1488–1489, by focussing on the intelligence activities of women in the Flemish West Quarter compensated by the city of Ypres. It also explores the growing professionalisation of these women, noting how the same women were employed repeatedly, reflecting the establishment of more structured intelligence operations by 1489. However, this did not necessarily result in a clear differentiation between the roles of intelligence work and other tasks, such as delivering letters. The article also contrasts the roles of rural and urban women employed by the city government. The critical yet under-recognised contributions of women, particularly those in rural areas, to this period of warfare show how the involvement of women in intelligence work was not solely an urban or noble phenomenon in the Middle Ages.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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