Bibliographic record
Abstract
The field of premodern environmental history (the study of the complex and ever-changing interrelationship between human beings and the world around them prior to the Industrial Revolution) has grown vigorously over the past two decades, in no small part due to the energy and expertise of Richard C. Hoffmann (York University, Canada). In this collection, historians of medieval and early modern Europe and social scientists with a sensitivity to the use of historical information present their current research in honor of Richard C. Hoffmann's retirement from teaching. The result is a panoramic and dynamic view of the state of the field of premodern environmental history by leading practitioners. The papers are organized under the broad themes of "Premodern People and the Natural World" and "Aquatic Ecosystems and Human Economies". Contributors are Richard W. Unger, Paolo Squatriti, William Chester Jordan, Petra J.E.M. van Dam, Verena Winiwarter, Maryanne Kowaleski, Constance H. Berman, Pierre Claude Reynard, Wim Van Neer, and Anton Ervynck.
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 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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".