Abduction, Marriage, and Consent in the Late Medieval Low Countries
Bibliographic record
Abstract
The Middle Dutch term schaec referred to abduction with marital intent. This book explores this phenomenon to understand wider attitudes towards marriage-making in the fifteenth-century Low Countries. Whilst exchanging words of consent was all that was required legally, making marriage was a social process that evoked public concern and familial scrutiny. Abductions embodied contrasting evaluations of what mattered when selecting a spouse and resulted in polarized trials in which narratives on consent, coercion, and family strategy coincided and competed. Abduction, Marriage, and Consent draws from a wide range of legal records to assess how men, women, families, and authorities used, navigated, and dealt with abductions during this period. It contributes to debates on consent, family involvement, and women’s access to justice and demonstrates that abduction should be approached as a comprehensive social phenomenon, one that is crucial in the history of marriage and women’s social and legal status.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".