Bibliographic record
Abstract
This book shows how the burgeoning commercial economy of western Europe in the twelfth and thirteenth centuries, alongside an emerging culture of Christian charity, led to the establishment of hundreds of hospitals and leper houses. Focusing on the county of Champagne, the book looks at the ways in which charitable organizations and individuals saw in these new institutions a means of infusing charitable giving and service with new social significance and heightened expectations of spiritual rewards. Hospitals served as visible symbols of piety and, as a result, were popular objects of benefaction. They also presented lay women and men with new penitential opportunities to personally perform the works of mercy, which many embraced as a way to earn salvation. At the same time, these establishments served a variety of functions beyond caring for the sick and the poor; as benefactors donated lands and money to them, hospitals became increasingly central to local economies, supplying loans, distributing food, and acting as landlords. In tracing the rise of the medieval hospital during a period of intense urbanization and the transition from a gift economy to a commercial one, the book makes clear how embedded this charitable institution was in the wider social, cultural, religious, and economic fabric of medieval life.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".