Bibliographic record
Abstract
In 'Enlightened Feudalism', Jeremy Hayhoe demonstrates that these local institutions actually functioned with a degree of efficiency, professionalism, and attention to peasant concerns that few historians have appreciated. Set in Northern Burgundy, this study reveals how provincial administrative elites quietly encouraged the use of simpler procedure for minor disputes, thus bringing seigneurial courts closer to village life. But these reforms paradoxically made the newly invigorated courts a key instrument of the late eighteenth-century intensification of the seigneurie. Peasant ambivalence toward seigneurial courts reflected this duality, as the 'cahiers de doléances' both praised the institution for its role in community affairs, and vigorously criticized it for bolstering the seigneurial system. By situating the local court within a wide range of para-judicial institutions and behaviors, Hayhoe presents a new vision of village society, one in which communal bonds were too weak to enforce behavioral norms. Village communities had substantial authority over their own affairs, but required the frequent and active collaboration of the court to enforce the rules that they put into place. Jeremy Hayhoe is assistant professor at the Université de Moncton, New Brunswick, Canada.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.022 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".