Bibliographic record
Abstract
‘In the year of the Incarnation of the Lord 849,’ wrote the learned abbot of Reichenau, Walahfrid Strabo, ‘a most great movement of the earth took place ( terrae motus maximus factus est ) after the first cockcrow, on April 20, a Saturday, and lasted several days. Afterwards others came intermittently until the first of June of the same year, early in the morning.’ Other sources corroborate what is thought to be Walahfrid’s personal experience of an earthquake and aftershocks centred in the Swabian Alps to the east of his cloistered island in the Bodensee. While by no means the first such event reported in the Middle Ages, Walahfrid’s rare personal witness conveys both the precise observation and meagre social context all too common in surviving records of the restless planet vexing its medieval inhabitants with seismic, volcanic, and atmospheric catastrophes. More forthcoming were chroniclers of the harsh northern Italian winter of 1215–16, when the Po froze over in January so people could walk, joust, and drive loaded wagons upon it. One contemporary said, ‘It was so cold that bread, apples and pears, and all manner of food froze solid and could not be cut or eaten until they had been warmed up and thawed out at a fire.’ Another alleged needing an axe to hack lumps from frozen wine. These and other writers concurred that deep snow and terrible cold lasting two months caused the vines to wither and were accompanied by high cereal prices. Of course, some such tales may serve mainly dramatic purposes, but certain palaeoscientific records can test and verify seasonal weather as well as longer, less immediately perceptible trends of climate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.007 |
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".