Bibliographic record
Abstract
Medieval Latin Christendom had an environmental history. How people engaged with nature had a bearing on their lives and their fate. This book means to show students, practitioners, and consumers of medieval studies and environmental studies this simple truth. The interaction of European nature and medieval culture writ large mattered then and says something of moment to those who would now listen. All three central themes of environmental history – environmental influences on human activity, human attitudes towards the natural world, and human impacts on the non-human – pertain to stories and outcomes interlaced through a millennium of Europe’s past. Those narratives deal with problems of resource use, ecological balance, pollution, and values and equity in environmental relations. They illuminate similarities, differences, and diversities among past and present human experiences with natural processes and objects, whether those are now approached from a current analytical perspective or from as much as can be reconstructed of a medieval stance where central concepts were not as today’s. Medieval environmental history also makes another contribution: its methods of drawing robust inferences about past events and conditions from surviving verbal and material artefacts and from traces preserved in nature constitute a call for enlarging interdisciplinarity in medieval studies. Respectful collaboration among medievalists, environmental scientists, and palaeoscientists is necessary to recapture lives, thoughts, and activities of medieval Europeans and the evolution of European nature in millennia before our own. By trying to exemplify what is known or reasonably surmised and what might be worth exploring, the present book advocates cooperation and shared learning among humane and scientific investigators, neophyte and veteran alike.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.798 | 0.757 |
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".